Remarks from the professor on milestone 1 and for milestone 2
A good start on the paper. Please look at the introduction again. It does not match the case problem or what the issues of the company are. If you look at the first paragraph it does not lead into the next paragraph and the facts and flow are disjointed.
I read through the paper and it is a series of unjoined statements that don't really flow into a research work. You do have the correct issue that monthly variance in demand is the key to solving the problem but the supporting work for this statement is not there.
The next step for milestone 2 is to analyze the descriptive statistics, ANOVA and correlation/regression asked for in the case. From that you should see how to develop a model to correct the forecasting problem. Make sure your Milestone 2, gives a model that solves the problem.
QSO 510 Milestone Two Guidelines and Rubric
The final project for this course is the creation of a statistical analysis report. Operations management professionals are often relied upon to make decisions
regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on
intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the
addendum, and the accompanying data in the case scenario and addendum.
In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. You will submit a 3- to 4-page paper
and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data, a hypothesis, the results of your analysis,
any inferences from your hypothesis test, and a forecasting model that addresses the company’s problem.
Specifically, the following critical elements must be addressed:
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you will use to perform your analysis. What are your statistical assumptions concerning
the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis?
B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study.
D. Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions.
E. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships
between ...
QSO 510 Milestone Two Guidelines and Rubric The final .docxamrit47
QSO 510 Milestone Two Guidelines and Rubric
The final project for this course is the creation of a statistical analysis report. Operations management professionals are often relied upon to make decisions
regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on
intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the
addendum, and the accompanying data in the case scenario and addendum.
In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. You will submit a 3- to 4-page paper
and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data, a hypothesis, the results of your analysis,
any inferences from your hypothesis test, and a forecasting model that addresses the company’s problem.
Specifically, the following critical elements must be addressed:
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you will use to perform your analysis. What are your statistical assumptions concerning
the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis?
B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study.
D. Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions.
E. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships
between the data. How will this method allow for the most reliable data?
IV. Analyze data to determine the appropriate decision for the identified problem:
A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important?
C. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are
reliable.
D. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in
operational improvement?
Guidelines for Submission: Your paper must be submitted as a 3- to 4-page Microsoft Word document and attached spreadsheet ...
QSO 510 Final Project Guidelines and Rubric Overview .docxmakdul
QSO 510 Final Project Guidelines and Rubric
Overview
The final project for this course is the creation of a statistical analysis report.
Each day, operations management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive
decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations
manager; working in this field is exciting and rewarding.
Throughout the course, you will be engaged in activities that charge you with making decisions regarding inventory management, production capacity, product
profitability, equipment effectiveness, and supply chain management. These are just a few of the challenges encountered in the field of operations management.
The final activity in this course will provide you with the opportunity to demonstrate your ability to apply statistical tools and methods to solve a problem in a
given scenario that is often encountered by an operations manager. Once you have outlined your analysis strategy and analyzed your data, you will then report
your data, strategy, and overall decision that addresses the given problem.
The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Three and Seven. The final project is due in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Apply data-based strategies in guiding a focused approach for improving operational processes
Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings
Select statistical tools for guiding data-driven decision making resulting in sustainable operational processes
Utilize a structured approach for data-driven decision making for fostering continuous improvement activities
Propose operational improvement recommendations to internal and external stakeholders based on relevant data
Prompt
Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured
approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations
manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline
the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will
be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.
Specifically, the ...
Representative Of The Populationseek Your Dream/Tutorialoutletdotcomapjk512
FOR MORE CLASSES VISIT
www.tutorialoutlet.com
ECO 301: Decision-Making Analysis Paper Guidelines and Rubric
Overview
Your final project for this course is a detailed analysis of a specific problem statement. How economic themes, such as demand, production, cost, and market
structure relate to a particular company will be a focus of this analysis. You will analyze these components with quantitative techniques,
DAT 520 Final Project Guidelines and Rubric Overview .docxsimonithomas47935
DAT 520 Final Project Guidelines and Rubric
Overview
You must complete a decision analysis research project as your final project for this course. Your research project will focus on a real-world topic of your choice,
as approved by your instructor. You will pick a topic from the list provided or with approval from your instructor, and create a data analysis plan and decision
tree model based on a real-world scenario. This assessment will provide you with the opportunity to employ highly valued decision support skills and concepts
for data within a real-world context. You can use the Final Project Notes document, found in the Assignment Guidelines and Rubrics section of the course.
The project is divided into three milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Two, Five, and Seven. The final submission will occur in Module Nine.
This project will address the following course outcomes:
Appraise data in context according to industry-standard methods and techniques for its utility in supporting decision making
Determine suitable data manipulation and modeling methods for decision support
Articulate data frameworks for organizational decision support by applying data manipulation, modeling, and management concepts
Evaluate the ethical issues surrounding organizational use of decision-oriented data based on industry standards and one’s personal ethical criteria
Create and assess the agility of solutions through application of data-mining procedures for decision support in various industries
Prompt
Your decision analysis model and report should answer the following prompt: How does your model and evaluation resolve uncertainty in making a decision? In
order to produce your analytic report, you will need to choose and investigate a data set using the decision analysis techniques you learned in class. Then you
will formulate a research question, write an analytic plan, and implement it. Your report should not solely consist of descriptions of what you did. It should also
contain detailed explorations into the meaning behind your model and the implications of its results. You will also be testing your model’s fitness and evaluating
its strengths and weaknesses.
The project in a nutshell:
1. Choose a data set (get ideas from the source list in the spreadsheet Final Project Topics and Sources.xls)
2. Formulate your decision analysis research question
3. Write an analytic plan
4. Perform the top-down or bottom-up modeling
5. Perform model diagnostics
6. Evaluate
These activities are broken up into milestones so that the work is spread throughout the term and you can get early assistance with any obstacles.
A decision analysis report is similar to any other analytic report. These reports introduce a problem, state a line of inquiry, explain a model th.
DAT 520 Milestone One Guidelines and Rubric For your p.docxsimonithomas47935
DAT 520 Milestone One Guidelines and Rubric
For your project, choose a data set from the curated list of sources (Final Project Topics and Sources.xls), or you may submit your proposal for a different data
source than these listed. Refer to the Final Project Notes document in the Assignment Guidelines and Rubrics folder for further guidance on this milestone.
Your submission should include all of the following:
A research question that is relevant to the decision analysis techniques you will employ.
A data set choice that is complementary to the research question.
An explanation of the data set, why it was chosen, and what its relationship is to the research question.
Guidelines for Submission: Submit 1 to 2 pages of writing explaining your intended research question. The document should be double spaced, using 12-point
Times New Roman font and one-inch margins. Your submission should include your selected data set and explanation for choosing it and your research question
and explanation for choosing it.
Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value
Research
Question
Res earch ques ti on has the qual i ti es of bei ng
appropri ate for deci s i on anal ysis techni ques
Res earch ques ti on needs s ome rework to
become appropri ate for deci s i on analys is
No res earch ques ti on i s provi ded, or i s not
vi abl e for deci s i on anal ysis
30
Data Set Choice Res earch ques ti on and chos en data s et(s ) are
compl ementary
Res earch ques ti on and data s et(s ) are
parti al ly compl ementary
Data s et(s ) and res earch ques ti on are not
appropri ate for each other
30
Explanation Characteri zes the chos en data s et(s ), s ource,
and how i t rel ates to the res earch ques ti on.
Li mi ted characteri zation of the data and
s ources
No characteri zation of the data and s ources
was provi ded
30
Articulation of
Response
Submi s s i on has no major errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
Submi s s i on has major errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
that negati vel y i mpact readabi l ity and
arti cul ation of mai n i deas
Submi s s i on has criti cal errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
that prevent unders tandi ng of i deas
10
Earned Total 100%
DAT 520 Milestone Two Guidelines and Rubric
In this milestone, you will create a first draft of your decision tree. This task assumes you have already established a viab le research question, identified a data
set, and performed the necessary data prep. To complete this milestone, you may have to exp eriment/iterate with different modeling styles. The main objective
of this milestone is to draft your model, explain what you did, and explain why it is the best model for your research questi on. For more details on completing
this milestone, refer to th.
A step-by-step guide for conducting statistical data analysisPhd Assistance
This document provides a 10-step guide for conducting statistical data analysis: 1) Define your research question and hypothesis, 2) Collect and prepare your data, 3) Explore your data through descriptive statistics, 4) Choose appropriate statistical methods, 5) Conduct your analysis, 6) Interpret the results, 7) Make inferences and recommendations, 8) Validate your findings, 9) Seek peer review and feedback, and 10) Draw conclusions and identify areas for further research. Statistical data analysis is presented as a structured process for transforming raw data into meaningful insights through defining questions, analyzing and visualizing data, interpreting results, and validating conclusions.
Top of Formment Project Phase I1Unsatisfactory0.002.docxturveycharlyn
Top of Form
ment Project: Phase I
1
Unsatisfactory
0.00%
2
Less than Satisfactory
74.00%
3
Satisfactory
79.00%
4
Good
87.00%
5
Excellent
100.00%
70.0 %Content
40.0 %Quality Tool Analysis
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is absent, inappropriate, or irrelevant. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is absent, inappropriate, or irrelevant.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes weak connections with several gaps in presentation. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes connections at a cursory level and contains minimal gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is at a cursory level and makes connections containing minimal gaps. Supporting sources are present and show some understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is clear and integrated, and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is clear and integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate the understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is thorough and well integrated and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is thorough and well integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate a deep understanding of the content.
30.0 %Stakeholder Analysis
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders is absent, inappropriate, or irrelevant.
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A stakeholder analysis that includes a power interest grid ...
1Unsatisfactory0.002Less than Satisfactory74.003.docxvickeryr87
1
Unsatisfactory
0.00%
2
Less than Satisfactory
74.00%
3
Satisfactory
79.00%
4
Good
87.00%
5
Excellent
100.00%
70.0 %Content
40.0 %Quality Tool Analysis
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is absent, inappropriate, or irrelevant. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is absent, inappropriate, or irrelevant.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes weak connections with several gaps in presentation. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes connections at a cursory level and contains minimal gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is at a cursory level and makes connections containing minimal gaps. Supporting sources are present and show some understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is clear and integrated, and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is clear and integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate the understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is thorough and well integrated and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is thorough and well integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate a deep understanding of the content.
30.0 %Stakeholder Analysis
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders is absent, inappropriate, or irrelevant.
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A stakeholder analysis that includes a power interest grid and a summary of all considerations.
QSO 510 Milestone Two Guidelines and Rubric The final .docxamrit47
QSO 510 Milestone Two Guidelines and Rubric
The final project for this course is the creation of a statistical analysis report. Operations management professionals are often relied upon to make decisions
regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on
intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the
addendum, and the accompanying data in the case scenario and addendum.
In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. You will submit a 3- to 4-page paper
and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data, a hypothesis, the results of your analysis,
any inferences from your hypothesis test, and a forecasting model that addresses the company’s problem.
Specifically, the following critical elements must be addressed:
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you will use to perform your analysis. What are your statistical assumptions concerning
the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis?
B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study.
D. Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions.
E. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships
between the data. How will this method allow for the most reliable data?
IV. Analyze data to determine the appropriate decision for the identified problem:
A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important?
C. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are
reliable.
D. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in
operational improvement?
Guidelines for Submission: Your paper must be submitted as a 3- to 4-page Microsoft Word document and attached spreadsheet ...
QSO 510 Final Project Guidelines and Rubric Overview .docxmakdul
QSO 510 Final Project Guidelines and Rubric
Overview
The final project for this course is the creation of a statistical analysis report.
Each day, operations management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive
decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations
manager; working in this field is exciting and rewarding.
Throughout the course, you will be engaged in activities that charge you with making decisions regarding inventory management, production capacity, product
profitability, equipment effectiveness, and supply chain management. These are just a few of the challenges encountered in the field of operations management.
The final activity in this course will provide you with the opportunity to demonstrate your ability to apply statistical tools and methods to solve a problem in a
given scenario that is often encountered by an operations manager. Once you have outlined your analysis strategy and analyzed your data, you will then report
your data, strategy, and overall decision that addresses the given problem.
The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Three and Seven. The final project is due in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Apply data-based strategies in guiding a focused approach for improving operational processes
Determine the appropriate statistical methods for informing valid data-driven decision making in professional settings
Select statistical tools for guiding data-driven decision making resulting in sustainable operational processes
Utilize a structured approach for data-driven decision making for fostering continuous improvement activities
Propose operational improvement recommendations to internal and external stakeholders based on relevant data
Prompt
Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured
approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations
manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline
the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will
be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.
Specifically, the ...
Representative Of The Populationseek Your Dream/Tutorialoutletdotcomapjk512
FOR MORE CLASSES VISIT
www.tutorialoutlet.com
ECO 301: Decision-Making Analysis Paper Guidelines and Rubric
Overview
Your final project for this course is a detailed analysis of a specific problem statement. How economic themes, such as demand, production, cost, and market
structure relate to a particular company will be a focus of this analysis. You will analyze these components with quantitative techniques,
DAT 520 Final Project Guidelines and Rubric Overview .docxsimonithomas47935
DAT 520 Final Project Guidelines and Rubric
Overview
You must complete a decision analysis research project as your final project for this course. Your research project will focus on a real-world topic of your choice,
as approved by your instructor. You will pick a topic from the list provided or with approval from your instructor, and create a data analysis plan and decision
tree model based on a real-world scenario. This assessment will provide you with the opportunity to employ highly valued decision support skills and concepts
for data within a real-world context. You can use the Final Project Notes document, found in the Assignment Guidelines and Rubrics section of the course.
The project is divided into three milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final
submissions. These milestones will be submitted in Modules Two, Five, and Seven. The final submission will occur in Module Nine.
This project will address the following course outcomes:
Appraise data in context according to industry-standard methods and techniques for its utility in supporting decision making
Determine suitable data manipulation and modeling methods for decision support
Articulate data frameworks for organizational decision support by applying data manipulation, modeling, and management concepts
Evaluate the ethical issues surrounding organizational use of decision-oriented data based on industry standards and one’s personal ethical criteria
Create and assess the agility of solutions through application of data-mining procedures for decision support in various industries
Prompt
Your decision analysis model and report should answer the following prompt: How does your model and evaluation resolve uncertainty in making a decision? In
order to produce your analytic report, you will need to choose and investigate a data set using the decision analysis techniques you learned in class. Then you
will formulate a research question, write an analytic plan, and implement it. Your report should not solely consist of descriptions of what you did. It should also
contain detailed explorations into the meaning behind your model and the implications of its results. You will also be testing your model’s fitness and evaluating
its strengths and weaknesses.
The project in a nutshell:
1. Choose a data set (get ideas from the source list in the spreadsheet Final Project Topics and Sources.xls)
2. Formulate your decision analysis research question
3. Write an analytic plan
4. Perform the top-down or bottom-up modeling
5. Perform model diagnostics
6. Evaluate
These activities are broken up into milestones so that the work is spread throughout the term and you can get early assistance with any obstacles.
A decision analysis report is similar to any other analytic report. These reports introduce a problem, state a line of inquiry, explain a model th.
DAT 520 Milestone One Guidelines and Rubric For your p.docxsimonithomas47935
DAT 520 Milestone One Guidelines and Rubric
For your project, choose a data set from the curated list of sources (Final Project Topics and Sources.xls), or you may submit your proposal for a different data
source than these listed. Refer to the Final Project Notes document in the Assignment Guidelines and Rubrics folder for further guidance on this milestone.
Your submission should include all of the following:
A research question that is relevant to the decision analysis techniques you will employ.
A data set choice that is complementary to the research question.
An explanation of the data set, why it was chosen, and what its relationship is to the research question.
Guidelines for Submission: Submit 1 to 2 pages of writing explaining your intended research question. The document should be double spaced, using 12-point
Times New Roman font and one-inch margins. Your submission should include your selected data set and explanation for choosing it and your research question
and explanation for choosing it.
Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value
Research
Question
Res earch ques ti on has the qual i ti es of bei ng
appropri ate for deci s i on anal ysis techni ques
Res earch ques ti on needs s ome rework to
become appropri ate for deci s i on analys is
No res earch ques ti on i s provi ded, or i s not
vi abl e for deci s i on anal ysis
30
Data Set Choice Res earch ques ti on and chos en data s et(s ) are
compl ementary
Res earch ques ti on and data s et(s ) are
parti al ly compl ementary
Data s et(s ) and res earch ques ti on are not
appropri ate for each other
30
Explanation Characteri zes the chos en data s et(s ), s ource,
and how i t rel ates to the res earch ques ti on.
Li mi ted characteri zation of the data and
s ources
No characteri zation of the data and s ources
was provi ded
30
Articulation of
Response
Submi s s i on has no major errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
Submi s s i on has major errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
that negati vel y i mpact readabi l ity and
arti cul ation of mai n i deas
Submi s s i on has criti cal errors rel ated to
grammar, s pel l i ng, s yntax, or organi zati on
that prevent unders tandi ng of i deas
10
Earned Total 100%
DAT 520 Milestone Two Guidelines and Rubric
In this milestone, you will create a first draft of your decision tree. This task assumes you have already established a viab le research question, identified a data
set, and performed the necessary data prep. To complete this milestone, you may have to exp eriment/iterate with different modeling styles. The main objective
of this milestone is to draft your model, explain what you did, and explain why it is the best model for your research questi on. For more details on completing
this milestone, refer to th.
A step-by-step guide for conducting statistical data analysisPhd Assistance
This document provides a 10-step guide for conducting statistical data analysis: 1) Define your research question and hypothesis, 2) Collect and prepare your data, 3) Explore your data through descriptive statistics, 4) Choose appropriate statistical methods, 5) Conduct your analysis, 6) Interpret the results, 7) Make inferences and recommendations, 8) Validate your findings, 9) Seek peer review and feedback, and 10) Draw conclusions and identify areas for further research. Statistical data analysis is presented as a structured process for transforming raw data into meaningful insights through defining questions, analyzing and visualizing data, interpreting results, and validating conclusions.
Top of Formment Project Phase I1Unsatisfactory0.002.docxturveycharlyn
Top of Form
ment Project: Phase I
1
Unsatisfactory
0.00%
2
Less than Satisfactory
74.00%
3
Satisfactory
79.00%
4
Good
87.00%
5
Excellent
100.00%
70.0 %Content
40.0 %Quality Tool Analysis
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is absent, inappropriate, or irrelevant. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is absent, inappropriate, or irrelevant.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes weak connections with several gaps in presentation. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes connections at a cursory level and contains minimal gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is at a cursory level and makes connections containing minimal gaps. Supporting sources are present and show some understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is clear and integrated, and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is clear and integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate the understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is thorough and well integrated and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is thorough and well integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate a deep understanding of the content.
30.0 %Stakeholder Analysis
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders is absent, inappropriate, or irrelevant.
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A stakeholder analysis that includes a power interest grid ...
1Unsatisfactory0.002Less than Satisfactory74.003.docxvickeryr87
1
Unsatisfactory
0.00%
2
Less than Satisfactory
74.00%
3
Satisfactory
79.00%
4
Good
87.00%
5
Excellent
100.00%
70.0 %Content
40.0 %Quality Tool Analysis
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is absent, inappropriate, or irrelevant. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is absent, inappropriate, or irrelevant.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes weak connections with several gaps in presentation. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem makes connections at a cursory level and contains minimal gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is at a cursory level and makes connections containing minimal gaps. Supporting sources are present and show some understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is clear and integrated, and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is clear and integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate the understanding of the content.
A quality tool analysis that includes a problem statement, root-cause analysis, and explanation of which quality tools you used to identify and vet the problem is thorough and well integrated and makes meaningful connections with no gaps. An explanation of quantitative and qualitative tools you used and a summary of how you arrived at the problem is thorough and well integrated, and makes meaningful connections with no gaps. Supporting sources are present that illustrate a deep understanding of the content.
30.0 %Stakeholder Analysis
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders is absent, inappropriate, or irrelevant.
A stakeholder analysis that includes a power interest grid and a summary of all considerations for all stakeholders makes weak connections with several gaps in presentation. Supporting sources are present and that show limited understanding of the content.
A stakeholder analysis that includes a power interest grid and a summary of all considerations.
5/25/2020 Rubric Detail – 31228.202030
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Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
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Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
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g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
ANOVA is a hypothesis testing technique used to compare the equali.docxjustine1simpson78276
ANOVA is a hypothesis testing technique used to compare the equality of means for two or more groups; for example, it can be used to test that the mean number of computer chips produced by a company on each of the day, evening, and night shifts is the same. Give an example of an application of ANOVA in an industrial, operations, or manufacturing setting that is different from the examples provided in the overview. Discuss and share this information with your classmates.
In responding to your peers, select responses that use an ANOVA application that is different from your own. Are the results of the ANOVA application statistically significant? Why are the results significant or not significant? Explain your reasoning. Consider how ANOVA could be applied to the final project case study.
Support your initial posts and response posts with scholarly sources cited in APA style.
https://statistics4beginners.wordpress.com/2015/02/18/how-to-calculate-anova-in-excel-2013/
PLEASE GIVE A 1-2 PARAGRAPH RESPONSE TO THE FOLLOWING:
1.
In this module, our goal is to learn the statistical process of comparing several population means through a procedure called "analysis of variance", or ANOVA. ANOVA uses the variance from the mean of 2 or more sample populations to see if there is a statistically significant difference between them (Sharpe, DeVeaux, Velleman, 2016). We've learned that this is a valuable tool in all sorts of areas of study, including automotive, chemical, and medical industries.
There are many practical examples of ANOVA throughout business. As previously mentioned, the medical field can benefit from the use of this statistics tool. For example, a drug company may be interested in the results of clinical trials for a few new drugs they plan to release. Medicine A, B, and C are all now in the clinical testing phase, so the instances in which each cures a specific ailment can be summed up using ANOVA. Each of the individual drugs, through the course of multiple trials, will have a number of "cured" patients. The following is an example of what the results may be, in table format:
A B C
Trial 1 4 9 2
2 5 8 7
3 7 1 6
4 6 1 5
5 6 4 9
Using ANOVA to evaluate the variance from the mean for each trial, the ultimate goal would be to compare each trial to one another. By comparing the variance, we can say, with statistical confidence, that one medicine may be more effect.
BUSI 443Case Study 3 Instructions Recruiting and Selecting High.docxRAHUL126667
BUSI 443
Case Study 3 Instructions: Recruiting and Selecting High-Level Managers through the Internet
You will complete the “Recruiting and Selecting High-Level Managers through the Internet” case in the Nkomo et al. text (#35 on pp. 112–113, 2011). You will write a 3–5-page essay (total does not include title page or reference page) that answers the 4 questions (1–4) on p. 113. Do not simply answer the questions. This is an essay and must be written to include an introduction, body, and conclusion. It may prove helpful to use the topic of the questions (advantages and disadvantages of internet recruitment and selection, the three approaches to online recruiting and selection, etc.) as section headers in your essay. Your response must be supported by at least 2 peer-reviewed resources. These resources must have been published within the last 5 years. Do not use other textbooks. The essay must be written in current APA format and include a title page, reference page, and in-text citations.
Note: This case study will not use the “small groups” described on p. 113 to answer the 4 questions.
Submit your assignment through SafeAssign as a draft to check for plagiarism before submitting it for points.
Data Analysis Plan
Details:
After the data are collected and before program evaluators meet with management, the data must be analyzed to ensure that it will provide the right type of information for the evaluation. Of vital importance is ensuring that the data fit the indicators identified for analysis. Then, it must be decided how the data and results will be presented. It is important to present the information in ways that make it easy to understand, demonstrate relationships to other data, and allow the information to be used to support decision-making processes. In this assignment, you will write about the methods of analyzing and reporting the study data.
General Requirements:
Use the following information to ensure successful completion of the assignment:
· Locate the data collection procedures you developed in Module 5 to use as reference material for this assignment.
· Locate the mission statement and program description from the existing organization that you referenced in Module 2 to use as examples for this assignment.
· Instructors will be using a grading rubric to grade the assignments. It is recommended that learners review the rubric prior to beginning the assignment in order to become familiar with the assignment criteria and expectations for successful completion of the assignment.
· Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
· This assignment requires that at least two additional scholarly research sources related to this topic, and at least one in-text citation from each source be included.
· You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.
Directions:
Based on ...
Executive Program Practical Connection Assignment - 100 poinBetseyCalderon89
This document discusses descriptive statistics and how to calculate and interpret various descriptive statistics, including mean, median, mode, range, variance, and standard deviation. It provides examples and formulas for computing each statistic using data on employee productivity. The key points are:
- Descriptive statistics are used to summarize and describe data through measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation).
- The appropriate statistic to use depends on the level of measurement of the data (nominal, ordinal, interval, ratio).
- Examples are provided to demonstrate how to calculate and interpret the mean, median, mode, range, variance, and standard deviation using data on the number of items employees produced.
Concordia University Page 3 of 3
Concordia University Page 1 of 3
CAPSTONE PROJECTDOCUMENTATION FORM
Action Research is an exciting, disciplined process of discovery designed to integrate theory into one’s daily practice in a way that improves educational practices and the individual conducting the research. Action Research is the Capstone Project in the Master’s of Education program for Concordia University online. It gives the educator, as a scholarly practitioner, the opportunity to examine relevant issues in his or her own classroom or school which may complicate, compromise, or complement the learning process—and to find meaningful, practical, research-based answers.
In Action Research, teachers are empowered to design a research-based plan, identify learning issues or problems, review relevant literature that examines identified problems, implement specific, research-based strategies, and discover convincing evidence that supports or contravenes their teaching strategies. The most exciting part of Action Research is the teacher can often observe student improvement during the project and can demonstrate, in a quantitative manner, the improvement of student learning. Sagor notes, “Seeing students grow is probably the greatest joy educators can experience” (2002, p. 5).
The steps to the Capstone Project are detailed below. Read through all of the steps before creating your implementation plan. Save this form as a draft until all Action Research steps have been completed and all responses are documented. You will submit this form at different stages of completion throughout EDU 698.
ACTION RESEARCH PROJECT
Name:
Insert text here.
Title of Project:
Insert text here.
Date Completed:
Insert text here.
IMPLEMENTATION TIME FRAME:
Number of weeks:
Insert text here.
TIMELINE of ACTION RESEARCH PROJECT:
Start Date:
Insert text here.
End Date:
Insert text here.
AREA OF FOCUS: What is your chosen area of focus? Why did you choose this area? How does it directly impact you?
Insert text here.
RESEARCH QUESTION:
Insert text here.
DEMOGRAPHICS
DEMOGRAPHIC DATA: Where/What is the research site? Who is directly involved? What statistics will give a clear understanding of the context and culture of the research site? (Do not use name as an identifier.) Provide references for sources used.
Insert text here.
TARGET GROUP: Who are the students you are trying to impact? (Do not use names - you must use another identifier.) How do you think this strategy or content focus will benefit the target group?
Insert text here.
BASELINE DATA: What are the baseline data that support your choice for this area of focus? What patterns or trends do you see in the data? What is your proof that.
This document discusses research methods and data collection techniques. It provides examples of a descriptive study design being used to explore employee empowerment policies and strategies. It also describes various quantitative and qualitative data collection methods, noting their advantages like collecting information from many people quickly, and disadvantages like not being able to determine causation. Cross-sectional studies are described as collecting data at a single point in time, making them less costly but unable to examine changes over time.
MBA 5652Unit ILiterature ReviewInstructionsWithin this cou.docxalfredacavx97
MBA 5652
Unit I
Literature Review
Instructions
Within this course you will submit parts of a research paper in each unit that will come together in Unit VII as the complete project. Click here to review the Course Project Guidance document, which outlines all of the work you will submit for the course and provides a template for the final paper. Reviewing the document will provide insight and mental preparation for the scope of the course since the assignments will build upon one another. It also introduces the scenario you will utilize for every assignment in this course. Click here to review the Sun Coast Remediation Data Files document. This document will be the source of data for your project, however, you will not begin working with the data until Unit IV. Note: The template provided is for the Unit VII Research Paper; you will submit parts of this paper in each unit. See the templates in each unit assignment.
For the Unit I assignment, you will use what you learned about research methodologies, primary and secondary sources, and reviewing literature to develop a literature review. This literature review will become part of the final course project due in Unit VII. Please click here to access and utilize a template for this assignment.
Review articles in the CSU Online Library databases and other credible resources to locate six peer-reviewed, scholarly articles that relate to the Sun Coast business problems identified in the Course Project Guidance document. The articles you use should help inform your knowledge about the issues you are trying to solve for Sun Coast. The articles should also be quantitative research articles from primary and secondary sources. Try including words like correlation, regression, t test, and ANOVA in your keyword search criteria.
The article discussion should include the qualifications of the authors, purpose of the studies, research methodologies and designs used, results from the studies, and explanations of how the articles relate to Sun Coast’s problem. Ensure that you also describe how you believe the research made a positive organizational impact.
The title and reference pages do not count toward the page requirement for this assignment. This assignment should be a minimum of two pages in length, follow APA-style formatting and guidelines, and use references and citations as necessary.
Refer to the Course Project Guidance document for insight. For assistance in creating your literature review, reach out to the Writing Center
Unit II
Scholarly Activity
Instructions
For this assignment, you will define the research objectives and develop the research questions and hypotheses to set the stage for the Sun Coast Remediation research project.
You will utilize this template to complete the Unit II assignment.
Be sure to include the following sections in your submission, and remember to use APA-formatted section headings and subheadings.
· Introduction
· Research problems
· Research objectives: Refer to t.
Comment this post (DL) W3-T1Pricewaterhouse Coopers is one of th.docxmccormicknadine86
Comment this post (DL) W3-T1
Pricewaterhouse Coopers is one of the Big 4 accounting firms and they are fully embraced in data analytics and innovative technology. “We deploy the transformative capabilities of data and analytics from strategy and design through to execution and technology enablement” (PricewaterhouseCoopers, 2019, para 2). They support their clients with both technology and data analysis.
PWC educates their customers in what their data analysis means for their business and how to best interpret the results. “We put leading-edge data and analytics to work solving our clients’ most critical issues, so they can focus on defining their future – faster” (PricewaterhouseCoopers, 2019, para 2). PWC is continuously moving forward with data analysis and any innovations that will further benefit their clients’ decision-making.
Much the same as PWC, Ernst & Young are also one of the Big 4 and offer data analytics services for their clients. They have taken their technology integration a step further with the use of artificial intelligence, “Infusion means that by embedding analytics and artificial intelligence (AI) into the very core of your business processes, we can help you drive capital allocation strategies and investment decisions, create an end-to-end digital audit, generate new revenue opportunities, manage risk, conduct investigations, measure financial and nonfinancial performance, capture tax big data to inform decisions, increase customer satisfaction, and improve the customer experience” (Ernst & Young, n.d., para 2). It is evident that E&Y is there for their clients in all ways that data analytics and innovative technology allow them to be. They too continue to seek new ways to benefit their clients and their use of data.
New technology appears to be the bridge necessary to close the gap between big data and it analytics. Acquiring the data is only part of the process, while “The ability to analyze meaningful and relevant data and convert data to information, knowledge, and ultimately action in time to favorably influence an organization is a key competitive differentiator” (Bumblauskas, Nold, Bumblauskas, & Igou, 2017, p. 703). The current use of technology in data analytics is still suffering some barriers with knowledgeable professionals, training and education. Moving forward, these barriers should steadily disappear as data analytics further integrates with the technology and it becomes a regular occurrence in the business structure.
Comment this post (DL) W3-T2 (AM)
All organizations disregarding their size needs meaningful data and insights specially when the organization needs to understand their target market and customer needs, it even play a crucial role in anticipating their preferences. For organizations big data provide a picture that helps understand trends, patterns and preferences from a large database produce when people interact with them and each other (simplilearn.com).
Based on the vid ...
EDUC 815Final Exam Grading RubricCriteriaLevels of Achieveme.docxtoltonkendal
EDUC 815
Final Exam Grading Rubric
Criteria
Levels of Achievement
Content 70%
Advanced
Proficient
Developing
Not present
Introduction
10 points
Persuades the reader that the topic is important by using 3-4 of relevant and quality literature published within the last 5 years. Provides a detailed overview of the topic at hand and prepares the reader for the background section of the manuscript.
9 points
Persuades the reader that the topic is important by using 3-4 pieces of relevant and quality literature published within the last 5 years. Provides an overview of the topic at hand and prepares the reader for the background section of the manuscript.
1 to 8 points
Provides support for the topic by using less than 2 pieces of literature. Provides a minimal overview of the topic at hand.
0 points
Not present
Participants
14 to 15 points
Clearly and accurately describes the target population, sample size, type of sample, and the sampling procedures. Provides demographic information and support for adequate sample size.
13 points
Describes the target population, sample size, type of sample, and the sampling procedures. Provides demographic information and some support for adequate sample size.
1 to 12 points
Somewhat describes target population, sample size, type of sample, and the sampling procedures. Does not provides demographic information and/or support for adequate sample size.
0 points
Not present
Setting
14 to 15 points
Important features of the site and treatment setting are clearly identified. The setting, especially the treatment setting is described in sufficient details so that the study could be replicated.
13 points
Important features of the site and treatment setting are mentioned. The setting, especially the treatment setting needs to be described in detail but lacking some key features.
1 to 12 points
Important features of the site and treatment setting are identified but not clearly. The setting is lacking some key features.
0 points
Not present
Research Design
14 to 15 points
Research design and all variables are clearly identified. Provides a logical and accurate rationale that is supported by research texts and other literature.
13 points
Research design and most variables are identified. Provides a rationale that is supported by research texts and other literature.
1 to 12 points
Research design and variables are inaccurately identified. Fails to provide a rationale that is supported by research texts and other literature.
0 points
Not present
Instrumentation
24 to 25 points
Clearly describes instrument including the name, purpose, and contents. Scales of measurement and the scoring procedures are clearly explained. Validity of the instrument is discussed using previous studies to establish validity. Reliability of the instrument is discussed including reliability coefficients.
22 to 23 points
Describes instrument including the name, purpose, and contents. Scales of measurement and the scoring procedures are .
CONNECTIONSCore competenciesAnalytic InquiryUse of .docxmargaretr5
This document outlines an assignment for students to conduct an organizational communication audit. Students are instructed to administer a communication survey within an organization to assess communication across five areas. Students will then analyze the survey results to identify a key communication challenge. Based on research, students will recommend solutions to address the identified challenge and present their findings. The assignment aims to demonstrate competencies in organizational communication analysis and consultation.
This document provides tips for fast-tracking a quantitative methodology dissertation, including establishing clear goals and communication with your committee, developing strong research questions and variables of interest, planning an appropriate data collection and analysis strategy using validated instruments and statistical software, and maintaining consistency throughout the process. Key recommendations include running a power analysis, using pre-existing surveys when possible, and having a detailed plan for addressing each research question and analyzing the data. Following these tips can help students efficiently complete the methodology chapter and overall dissertation.
IHP 525 Final Project Data Analysis Guidelines and Rubric MalikPinckney86
IHP 525 Final Project Data Analysis Guidelines and Rubric
Overview
Now that you have submitted your article review, you will submit Your Final Project Data Analysis. The Final Project Article Review was an opportunity to
demonstrate your ability to interpret statistics included in an article. The Final Project Data Analysis is a chance to show that you know how to choose the
correct statistics to analyze a set of data and calculate these using software.
Regardless of their field of interest, health professionals across disciplines need to be able to run basic biostatistical calculations to describe a set of data.
The Final Project Data Analysis reinforces these critical skills by asking you to conduct your own analysis of a small data set, explain the basic parameters of the
data, graph it, and run simple tests. You will present this data analysis in a brief statistical report, using language appropriate to a non-technical audience.
The Final Project Data Analysis consists of four milestones, submitted in Modules Two, Three, Five, and Seven. The final submission occurs in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Perform basic, context-appropriate statistical calculations and hypothesis testing in accurately analyzing biostatistical data
Interpret key biostatistical metrics, methods, and data for addressing population-based health problems
Communicate biostatistical results, procedures, and analysis to other health professionals and the general public for informing their decisions related to
population-based health problems
Prompt
Biostatisticians are constantly called upon to analyze data in order to help researchers and health officials answer critical questions about populations’ health.
For this assessment, you will imagine you are a biostatistical consultant on a small study for a local health organization. In the Assignments Guidelines and
Rubrics area of the course, you will use the Data Analysis Data Set and Data Analysis Data Description, along with some background information on how and
when the data was collected and the general research question the organization is interested in answering. This is often the way you will receive data in the real
world.
Your task is to help the organization answer their question by critically analyzing the data. You will compute your chosen statistics, interpret the results, and
present the results and recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a
statistical standpoint. Be sure to justify your conclusions and recommendations with appropriate statistical support.
Specifically, you must address the critical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets).
I. Introduction
A. State the overall health question you have been asked ...
Project Designing a Database using MS AccessDescription Work.docxwoodruffeloisa
Project: Designing a Database using MS Access
Description: Working in a team of two members, you have to design a Database for an organization.
The project will be completed and submitted incrementally. You will have to submit the project in three phases. Every increment submission will be accompanied by a presentation of completed work.
In the first phase you need to work on the following: (30 points)
1. Determine the purpose of your database
2. Design the DFD (Data Flow Diagram) for your system. Recommended tool to design DFD is MS Visio or Visual Paradigm but it is not required.
3. Design the ERD (Entity Relationship Diagram)
In the second phase you need to work on the following: (40 points)
1. Find and organize the information required
2. Divide your information items into major entities or subjects, such as Products or Orders. Each subject then becomes a table.
3. Decide what information you want to store in each table. Each item becomes a field, and is displayed as a column in the table. For example, an Employees table might include fields such as Last Name and Hire Date.
4. Choose each table’s primary key. The primary key is a column that is used to uniquely identify each row. An example might be Product ID or Order ID.
In the third & final phase you need to the following: (30 points)
1. Apply the data normalization rules to see if your tables are structured correctly. Make adjustments to the tables, as needed.
2. Write SQL (Structured Query language) to retrieve the data
Briefly described your healthcare organization, including its culture and readiness for change.
SLIDE 3
Described the current problem or opportunity for change. The circumstances surrounding the need for change, the scope of the issue, the stakeholders involved, and the risks associated with change implementation in general was described.
Proposed an evidence-based idea for a change in practice using an evidence-based practice approach to decision making.
SLIDE 5
• Described your plan for knowledge transfer of this change, including knowledge creation, dissemination, and organizational adoption and implementation.
SLIDE 6
Described the measurable outcomes.
RECOMMENDING AN EVIDENCE-BASED PRACTICE CHANGE
student’s name
instructor
course
date
Organizational Culture And Readiness For Change
The first assessment will help to determine the ability of the current organization to accept change to the nursing practice
Prior assessment of the organization’s challenges to change embracement is key to provide solutions to health care problems in the society
According to the Organization Culture Assessment Instrument (OCAI), the staff responses indicate the willingness of the organization to change
Current Problem Or Opportunity For Change
The need for change is to reduce falls
The main barrier to this facility is lack of sufficient knowledge about evidence-based practice implementation
Patients with falls require a long duration of hospital stay ...
NR360 Information Systems in Healthcare RUA We Can, BuMoseStaton39
NR360 Information Systems in Healthcare
RUA: We Can, But Dare We? Guidelines
NR360_RUA_We_Can_But_Dare_We_Guidelines Revised: July 2020 1
Purpose
The purpose of this assignment is to investigate informatics in healthcare and to apply professional, ethical, and legal
principles to its appropriate use in healthcare technology.
Course outcomes: This assignment enables the student to meet the following course outcomes:
CO 4: Investigate safeguards and decision‐making support tools embedded in patient care technologies and information
systems to support a safe practice environment for both patients and healthcare workers. (PO 4)
CO 6: Discuss the principles of data integrity, professional ethics, and legal requirements related to data security,
regulatory requirements, confidentiality, and client’s right to privacy. (PO 6)
CO 8: Discuss the value of best evidence as a driving force to institute change in the delivery of nursing care. (PO 8)
Due date: Your faculty member will inform you when this assignment is due . The Late Assignment Policy applies to
this assignment.
Total points possible: 240 points
Requirements:
• Research, compose, and type a scholarly paper based on the scenario provided by your faculty, and choose a
conclusion scenario to discuss within the body of your paper. Reflect on lessons learned in this class about
technology, privacy concerns, and legal and ethical issues and address each of these concepts in the paper. Consider
the consequences of such a scenario. Do not limit your review of the literature to the nursing discipline only because
other health professionals are using the technology, and you may need to apply critical thinking skills to its
applications in this scenario.
• Use Microsoft Word and APA formatting. Consult your copy of the Publication Manual of the American Psychological
Association, as well as the resources in Doc Sharing if you have questions (e.g., margin size, font type and size
(point), use of third person, etc.). Take advantage of the writing service SmartThinking, which is accessed by clicking
on the link called the Tutor Source, found under the Course Home area.
• The length of the paper should be four to five pages, excluding the title page and the reference page. Limit the
references to a few key sources (minimum of three required).
• The paper will contain an introduction that catches the attention of the reader, states the purpose of the paper, and
provides a narrative outline of what will follow (i.e., the assignment criteria).
• In the body of the paper, discuss the scenario in relation to HIPAA, legal, and other regulatory requirements that
apply to the scenario and the ending you chose. Demonstrate support from sources of evidence (references)
included as in‐text citations.
• Choose and identify one of the possible endings provided for the scenario, and construct your paper based on its
implications to the scenario. Make recommendati ...
NUR 440 Peer Review Guidelines and Rubric Overview Th.docxvannagoforth
NUR 440 Peer Review Guidelines and Rubric
Overview: The purpose of peer review is to facilitate quality-nursing care through best practice discovered in evidence-based research. According to the
American Nurses Association, “peer review in nursing is the process by which practicing registered nurses systematically access, monitor, and make judgments
about the quality of nursing care provided by peers as measured against professional standards of practice. Peer review implies that the nursing care delivered
by a group of nurses or an individual nurse is evaluated by individuals of the same rank or standing according to established standards of practice.” Peer review
helps not only the author but the reviewer as well through the development of a critical eye which can then be applied to their own work.
Prompt
As the reviewer:
When you peer review another’s work, you will critically evaluate and suggest improvements. You will likely read the abstract once or twice before delving in with
comments and first impressions. Using the checklist below, identify strengths and areas for improvement, being sure to address each critical element in your
review.
Peer Review Checklist:
x Aims and objectives: Is the purpose clearly stated?
x Background: Does the author offer background on the subject?
x Methods: Are the methods clearly stated? What type of method did the author use?
x Results: Are the results valid and reliable?
x Conclusions: Are the conclusions clearly stated and are they informed by the results?
x Relevance to clinical practice: Does the author state the relevancy to clinical practice?
x Articulation of response (e.g., citations, grammar, spelling, syntax, organization)
You will be evaluated on your peer reviews, not the abstract submitted, using the rubric below.
As the author of the abstract, remember the following:
x Read the review carefully, avoiding any desire to defend your choices.
x If you are unclear what the reviewer means, ask them to clarify.
x If you have any questions, feel free to pose them to the reviewer.
x Take special note of repeated commentary (e.g., grammar, citation, etc.) as this may signify an area for improvement.
x Thank the reviewers for their feedback. If some commentary was especially helpful, this is useful information for the reviewer.
x Accept that negative feedback comes with the territory. Your job is not to make everyone happy but to make your work the best that it can be.
https://americannursetoday.com/nursing-peer-review-principles-and-practice/
Guidelines for Submission: You must submit your abstract to the provided discussion for review by Sunday of the previous module. When choosing two abstracts
for review, be sure to select peers who have not yet received feedback. Each of your reviews should be 2–3 paragraphs in length.
Rubric
Critical Elements Exemplary (100%) Proficient (85%) Needs Improvement (55%) Not Evident (0%) Value
Analysis Mee ...
Introduction to Epidemiology Course Project Detailed Article Cri.docxmariuse18nolet
Introduction to Epidemiology Course Project
Detailed Article Critique
Reading, interpreting, and judging the value of epidemiologic literature is a skill that you will exercise throughout your academic career in public health and beyond. To help prepare you for your thesis or capstone experience as well as future coursework, your project this term involves writing a detailed critique of an article. (See link in blackboard.) Construct your critique using complete paragraphs. DO NOT present your critique as an outline.
Please consult the table on the next page to ensure that your review includes the required major elements for this assignment. We will use this table in our evaluation of your project. Each element is worth a specified number of points. Please understand that full credit will not be awarded for simply mentioning each element. You must justify your assessment. For example, you cannot simply state, “The authors justified the importance of their study.” You need to point out how the authors did or did not meet each criterion. Your critique should not be longer than 4-6 pages double-spaced with one-inch margins. There is no minimum page requirement.
For additional assistance, please refer to the article by Young et al. (2009) that is also posted in Blackboard along with the article that you are to review.
See next page for more details. ( ( ( ( ( (
Name___________________________
Element
Possible Points
Grade
Objectives:
· What is/are the research question(s) addressed by this study?
· Did the authors justify the need for their study? What was it?
5
5
Study Design:
· Describe the study design and methods used for the study.
· Critique the overall design by addressing the following:
· Did the authors correctly identify their study design (e.g., the authors stated that their study was a cohort study when it really was a cross-sectional study)?
· Did the authors present clear definitions of their exposure/health outcomes?
· Did the authors adequately describe their sampling (e.g., convenience, consecutive, or random; response rate; study population) and data collection methods (e.g., questionnaire, records, biomarkers, surveys, etc.)?
15
10
Analysis:
· Describe the data analysis plan overall.
· Critique the analysis plan by addressing the following:
· Is the analysis appropriate for the study design (considering you level of statistical knowledge)? Was potential confounding addressed in the analysis stage? If so, how?
· Are the tables and graphs well organized and labeled? Do the tables and graphs provide enough data for reader to draw their own conclusions (e.g. do they stand alone?)?
· Are the findings within the tables/figures consistent? Is each table/figure consistent with the text and other tables/figures?
· Can the findings be attributed simply to chance?
5
10
Validity and Conclusions:
· Internal validity- Consider the potential for selection bias, information bias, and .
HRCU 351 Week 6 Paper 2 EthicsGuidelines and Grading RubricPazSilviapm
HRCU 351 Week 6: Paper 2 Ethics
Guidelines and Grading Rubric
Length: 3-4 double-spaced pages (excluding title and references pages)
Due: Week 6 by Sunday Midnight
Value: 110 Points
Post: Week 6 Assignments
Prepare a 3 – 4 page (not including cover or reference pages) research-based paper that: 1) identifies two (2) recent examples of actual ethical workforce planning issues 2) details and explain the ethical issues and impact on the workplace 3) makes specific recommendations for solving/avoiding these ethical issues and 4) identifies two (2) insights gained into navigating workplace and staffing issues. Students should integrate 4 or more scholarly sources including 3 journal articles and at least one direct quote from the course textbook.
The analysis should:
· Identify two (2) recent examples of actual ethical workforce planning issues
· Detail and analyze the ethical issues and impact on the workplace
· Make specific recommendations for solving/avoiding these ethical issues
· Identify two (2) insights gained into navigating workplace and staffing issues.
· 4 or more scholarly sources including 3 journal articles.
· At least one direct quote from our course textbook.
Rubric: Evaluation Criteria
CriteriaExemplaryProficientDevelopingEmergingNo credit
Ethical Examples
20 - 23
Clearly and concisely describes 2 examples of a ethical workplace issues.
22 - 17
Fairly clearly describes 2 best practices
16 - 12
Somewhat clearly describes 1 - 2 best practices
11- 1
Limited if any description of best practices
0
Assignment, meeting grading criteria, was not submitted.
Analysis
20 - 23
Provides a thorough analysis of each ethical issue that is supported by citations of expert theories and research. Defines and uses all key terms comprehensively.
22 - 17
Mostly provides a thorough analysis of each ethical issue that is supported by citations of expert theories and research. Defines most key terms and explains them to somewhat comprehensively.
16 - 12
Analysis of each ethical issue that is supported by some citations of expert theories and research. May not define key terms and/or discuss why practices are effective.
11- 1
Analysis is not supported by research or citations. Does not define key terms and/or discuss why practices are effective.
Assignment, meeting grading criteria, was not submitted.
Recommendations
20 - 23
Accurately uses findings of comparing best and actual organizational practices to make specific recommendations that would strengthen ethical staffing strategies or practices.
22 - 17
Fairly accurately uses findings of comparing best and actual organizational practices to make fairly specific recommendations that may strengthen ethical staffing strategies or practices.
16 - 12
Somewhat uses findings of comparing best and actual organizational practices to make general recommendations; that may or may not strengthen ethical staffing strategies or practices.
11- 1
Recommendations if made to improve employ ...
Descriptive Statistics and Interpretation Grading GuideQNT5.docxtheodorelove43763
This document outlines a sampling and data collection plan to test whether implementing a Total Quality Management (TQM) system will increase product quality at PhoenixSolar. The target population includes production workers, managers, engineers, technicians, and customers who will provide insights through focus groups and surveys. A sample size of 385 is needed for a 95% confidence level. Internal employees will participate in exploratory focus groups, while external groups like technicians and customers will complete paper, email, and installation surveys. Validity, reliability, and privacy protocols are defined. The plan is to analyze responses over six months to determine if TQM increases quality and customer satisfaction at PhoenixSolar.
A brief description of your employment historyYour career .docxsodhi3
A brief description of your employment history
Your career goals (both short and long term)
Tell me about a leader you look up to. This can be someone you know or don't know, famous or familiar to you, and can even be a TV/Movie character and does not need to real. Describe what this person does makes them your role model.
(My name is Danny Z. i'm a full time student )
.
A budget is a plan expressed in dollar amounts that acts as a ro.docxsodhi3
A budget is a plan expressed in dollar amounts that acts as a road map to carry out an organization’s objectives, strategies and assumptions. There are different types of budgets that healthcare organization use to manage its financial and managerial goals and obligations.
Discuss the difference between an operating budget and a capital budget. What are the steps in creating each budget?
At least 150 words; APA Format
.
A 72-year-old male with a past medical history for hypertension, con.docxsodhi3
A 72-year-old male with a past medical history for hypertension, congestive heart failure, chronic back pain, and diabetes is admitted to the hospital for hypotension suspected from a possible accidental overdose. What are the criteria for discharge? Explain the importance of utilizating hospital recommendations and teachings. List some meaningful community resources in the response.
.
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Code of Ethics: This is a synopsis of some of the most important ethical
considerations you need to be aware of as a professional in the real estate
industry.
Terminology:
Agency: The fiduciary relationship created between a principal and an agent whereby the agent
can act on behalf of the principle for certain transactions. Agency is usually created when the
principal signs a listing agreement to list their property for sale or a management contract to rent
a property for instance.
Agent: The broker or sales associate acting on behalf of the principal (see Agency)
Client: The person with whom the broker or sales associate has a legal contract to represent.
Customer: Is not contractually bound to the industry professional
Principal: Person who hires an agent to act on his or behalf.
Code of Ethics:
#1: The agent has a responsibility to promote the interests of their client(s) and treat all involved
in any real estate transaction in an honest and fair manner. They must disclose if they are a
dual agent (representing both buyer and seller in a transaction) or a designated agent
(represent either the buyer or seller depending on state law), or they are a limited representative
(will provide only certain duties in the transaction per state law).
#2: Agents must openly acknowledge to clients any personal interest they might have in any
transaction prior to showing a property; they must acknowledge any personal relationships
involved. Ex: Agent says, “I want to disclose to you before we look at it, that this property
belongs to is my brother and my sister in-law is his agent.”
#3: The Agent will not allow anyone that is not pre-authorized by the owner, to access the
property of the client.
#4: Never overstate benefits or attributes of a property or opportun.
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5/25/2020 Rubric Detail – 31228.202030
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and made it available to you. Select Grid View or List View to change the rubric's layout.
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Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
Exit
Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
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g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
ANOVA is a hypothesis testing technique used to compare the equali.docxjustine1simpson78276
ANOVA is a hypothesis testing technique used to compare the equality of means for two or more groups; for example, it can be used to test that the mean number of computer chips produced by a company on each of the day, evening, and night shifts is the same. Give an example of an application of ANOVA in an industrial, operations, or manufacturing setting that is different from the examples provided in the overview. Discuss and share this information with your classmates.
In responding to your peers, select responses that use an ANOVA application that is different from your own. Are the results of the ANOVA application statistically significant? Why are the results significant or not significant? Explain your reasoning. Consider how ANOVA could be applied to the final project case study.
Support your initial posts and response posts with scholarly sources cited in APA style.
https://statistics4beginners.wordpress.com/2015/02/18/how-to-calculate-anova-in-excel-2013/
PLEASE GIVE A 1-2 PARAGRAPH RESPONSE TO THE FOLLOWING:
1.
In this module, our goal is to learn the statistical process of comparing several population means through a procedure called "analysis of variance", or ANOVA. ANOVA uses the variance from the mean of 2 or more sample populations to see if there is a statistically significant difference between them (Sharpe, DeVeaux, Velleman, 2016). We've learned that this is a valuable tool in all sorts of areas of study, including automotive, chemical, and medical industries.
There are many practical examples of ANOVA throughout business. As previously mentioned, the medical field can benefit from the use of this statistics tool. For example, a drug company may be interested in the results of clinical trials for a few new drugs they plan to release. Medicine A, B, and C are all now in the clinical testing phase, so the instances in which each cures a specific ailment can be summed up using ANOVA. Each of the individual drugs, through the course of multiple trials, will have a number of "cured" patients. The following is an example of what the results may be, in table format:
A B C
Trial 1 4 9 2
2 5 8 7
3 7 1 6
4 6 1 5
5 6 4 9
Using ANOVA to evaluate the variance from the mean for each trial, the ultimate goal would be to compare each trial to one another. By comparing the variance, we can say, with statistical confidence, that one medicine may be more effect.
BUSI 443Case Study 3 Instructions Recruiting and Selecting High.docxRAHUL126667
BUSI 443
Case Study 3 Instructions: Recruiting and Selecting High-Level Managers through the Internet
You will complete the “Recruiting and Selecting High-Level Managers through the Internet” case in the Nkomo et al. text (#35 on pp. 112–113, 2011). You will write a 3–5-page essay (total does not include title page or reference page) that answers the 4 questions (1–4) on p. 113. Do not simply answer the questions. This is an essay and must be written to include an introduction, body, and conclusion. It may prove helpful to use the topic of the questions (advantages and disadvantages of internet recruitment and selection, the three approaches to online recruiting and selection, etc.) as section headers in your essay. Your response must be supported by at least 2 peer-reviewed resources. These resources must have been published within the last 5 years. Do not use other textbooks. The essay must be written in current APA format and include a title page, reference page, and in-text citations.
Note: This case study will not use the “small groups” described on p. 113 to answer the 4 questions.
Submit your assignment through SafeAssign as a draft to check for plagiarism before submitting it for points.
Data Analysis Plan
Details:
After the data are collected and before program evaluators meet with management, the data must be analyzed to ensure that it will provide the right type of information for the evaluation. Of vital importance is ensuring that the data fit the indicators identified for analysis. Then, it must be decided how the data and results will be presented. It is important to present the information in ways that make it easy to understand, demonstrate relationships to other data, and allow the information to be used to support decision-making processes. In this assignment, you will write about the methods of analyzing and reporting the study data.
General Requirements:
Use the following information to ensure successful completion of the assignment:
· Locate the data collection procedures you developed in Module 5 to use as reference material for this assignment.
· Locate the mission statement and program description from the existing organization that you referenced in Module 2 to use as examples for this assignment.
· Instructors will be using a grading rubric to grade the assignments. It is recommended that learners review the rubric prior to beginning the assignment in order to become familiar with the assignment criteria and expectations for successful completion of the assignment.
· Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
· This assignment requires that at least two additional scholarly research sources related to this topic, and at least one in-text citation from each source be included.
· You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.
Directions:
Based on ...
Executive Program Practical Connection Assignment - 100 poinBetseyCalderon89
This document discusses descriptive statistics and how to calculate and interpret various descriptive statistics, including mean, median, mode, range, variance, and standard deviation. It provides examples and formulas for computing each statistic using data on employee productivity. The key points are:
- Descriptive statistics are used to summarize and describe data through measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation).
- The appropriate statistic to use depends on the level of measurement of the data (nominal, ordinal, interval, ratio).
- Examples are provided to demonstrate how to calculate and interpret the mean, median, mode, range, variance, and standard deviation using data on the number of items employees produced.
Concordia University Page 3 of 3
Concordia University Page 1 of 3
CAPSTONE PROJECTDOCUMENTATION FORM
Action Research is an exciting, disciplined process of discovery designed to integrate theory into one’s daily practice in a way that improves educational practices and the individual conducting the research. Action Research is the Capstone Project in the Master’s of Education program for Concordia University online. It gives the educator, as a scholarly practitioner, the opportunity to examine relevant issues in his or her own classroom or school which may complicate, compromise, or complement the learning process—and to find meaningful, practical, research-based answers.
In Action Research, teachers are empowered to design a research-based plan, identify learning issues or problems, review relevant literature that examines identified problems, implement specific, research-based strategies, and discover convincing evidence that supports or contravenes their teaching strategies. The most exciting part of Action Research is the teacher can often observe student improvement during the project and can demonstrate, in a quantitative manner, the improvement of student learning. Sagor notes, “Seeing students grow is probably the greatest joy educators can experience” (2002, p. 5).
The steps to the Capstone Project are detailed below. Read through all of the steps before creating your implementation plan. Save this form as a draft until all Action Research steps have been completed and all responses are documented. You will submit this form at different stages of completion throughout EDU 698.
ACTION RESEARCH PROJECT
Name:
Insert text here.
Title of Project:
Insert text here.
Date Completed:
Insert text here.
IMPLEMENTATION TIME FRAME:
Number of weeks:
Insert text here.
TIMELINE of ACTION RESEARCH PROJECT:
Start Date:
Insert text here.
End Date:
Insert text here.
AREA OF FOCUS: What is your chosen area of focus? Why did you choose this area? How does it directly impact you?
Insert text here.
RESEARCH QUESTION:
Insert text here.
DEMOGRAPHICS
DEMOGRAPHIC DATA: Where/What is the research site? Who is directly involved? What statistics will give a clear understanding of the context and culture of the research site? (Do not use name as an identifier.) Provide references for sources used.
Insert text here.
TARGET GROUP: Who are the students you are trying to impact? (Do not use names - you must use another identifier.) How do you think this strategy or content focus will benefit the target group?
Insert text here.
BASELINE DATA: What are the baseline data that support your choice for this area of focus? What patterns or trends do you see in the data? What is your proof that.
This document discusses research methods and data collection techniques. It provides examples of a descriptive study design being used to explore employee empowerment policies and strategies. It also describes various quantitative and qualitative data collection methods, noting their advantages like collecting information from many people quickly, and disadvantages like not being able to determine causation. Cross-sectional studies are described as collecting data at a single point in time, making them less costly but unable to examine changes over time.
MBA 5652Unit ILiterature ReviewInstructionsWithin this cou.docxalfredacavx97
MBA 5652
Unit I
Literature Review
Instructions
Within this course you will submit parts of a research paper in each unit that will come together in Unit VII as the complete project. Click here to review the Course Project Guidance document, which outlines all of the work you will submit for the course and provides a template for the final paper. Reviewing the document will provide insight and mental preparation for the scope of the course since the assignments will build upon one another. It also introduces the scenario you will utilize for every assignment in this course. Click here to review the Sun Coast Remediation Data Files document. This document will be the source of data for your project, however, you will not begin working with the data until Unit IV. Note: The template provided is for the Unit VII Research Paper; you will submit parts of this paper in each unit. See the templates in each unit assignment.
For the Unit I assignment, you will use what you learned about research methodologies, primary and secondary sources, and reviewing literature to develop a literature review. This literature review will become part of the final course project due in Unit VII. Please click here to access and utilize a template for this assignment.
Review articles in the CSU Online Library databases and other credible resources to locate six peer-reviewed, scholarly articles that relate to the Sun Coast business problems identified in the Course Project Guidance document. The articles you use should help inform your knowledge about the issues you are trying to solve for Sun Coast. The articles should also be quantitative research articles from primary and secondary sources. Try including words like correlation, regression, t test, and ANOVA in your keyword search criteria.
The article discussion should include the qualifications of the authors, purpose of the studies, research methodologies and designs used, results from the studies, and explanations of how the articles relate to Sun Coast’s problem. Ensure that you also describe how you believe the research made a positive organizational impact.
The title and reference pages do not count toward the page requirement for this assignment. This assignment should be a minimum of two pages in length, follow APA-style formatting and guidelines, and use references and citations as necessary.
Refer to the Course Project Guidance document for insight. For assistance in creating your literature review, reach out to the Writing Center
Unit II
Scholarly Activity
Instructions
For this assignment, you will define the research objectives and develop the research questions and hypotheses to set the stage for the Sun Coast Remediation research project.
You will utilize this template to complete the Unit II assignment.
Be sure to include the following sections in your submission, and remember to use APA-formatted section headings and subheadings.
· Introduction
· Research problems
· Research objectives: Refer to t.
Comment this post (DL) W3-T1Pricewaterhouse Coopers is one of th.docxmccormicknadine86
Comment this post (DL) W3-T1
Pricewaterhouse Coopers is one of the Big 4 accounting firms and they are fully embraced in data analytics and innovative technology. “We deploy the transformative capabilities of data and analytics from strategy and design through to execution and technology enablement” (PricewaterhouseCoopers, 2019, para 2). They support their clients with both technology and data analysis.
PWC educates their customers in what their data analysis means for their business and how to best interpret the results. “We put leading-edge data and analytics to work solving our clients’ most critical issues, so they can focus on defining their future – faster” (PricewaterhouseCoopers, 2019, para 2). PWC is continuously moving forward with data analysis and any innovations that will further benefit their clients’ decision-making.
Much the same as PWC, Ernst & Young are also one of the Big 4 and offer data analytics services for their clients. They have taken their technology integration a step further with the use of artificial intelligence, “Infusion means that by embedding analytics and artificial intelligence (AI) into the very core of your business processes, we can help you drive capital allocation strategies and investment decisions, create an end-to-end digital audit, generate new revenue opportunities, manage risk, conduct investigations, measure financial and nonfinancial performance, capture tax big data to inform decisions, increase customer satisfaction, and improve the customer experience” (Ernst & Young, n.d., para 2). It is evident that E&Y is there for their clients in all ways that data analytics and innovative technology allow them to be. They too continue to seek new ways to benefit their clients and their use of data.
New technology appears to be the bridge necessary to close the gap between big data and it analytics. Acquiring the data is only part of the process, while “The ability to analyze meaningful and relevant data and convert data to information, knowledge, and ultimately action in time to favorably influence an organization is a key competitive differentiator” (Bumblauskas, Nold, Bumblauskas, & Igou, 2017, p. 703). The current use of technology in data analytics is still suffering some barriers with knowledgeable professionals, training and education. Moving forward, these barriers should steadily disappear as data analytics further integrates with the technology and it becomes a regular occurrence in the business structure.
Comment this post (DL) W3-T2 (AM)
All organizations disregarding their size needs meaningful data and insights specially when the organization needs to understand their target market and customer needs, it even play a crucial role in anticipating their preferences. For organizations big data provide a picture that helps understand trends, patterns and preferences from a large database produce when people interact with them and each other (simplilearn.com).
Based on the vid ...
EDUC 815Final Exam Grading RubricCriteriaLevels of Achieveme.docxtoltonkendal
EDUC 815
Final Exam Grading Rubric
Criteria
Levels of Achievement
Content 70%
Advanced
Proficient
Developing
Not present
Introduction
10 points
Persuades the reader that the topic is important by using 3-4 of relevant and quality literature published within the last 5 years. Provides a detailed overview of the topic at hand and prepares the reader for the background section of the manuscript.
9 points
Persuades the reader that the topic is important by using 3-4 pieces of relevant and quality literature published within the last 5 years. Provides an overview of the topic at hand and prepares the reader for the background section of the manuscript.
1 to 8 points
Provides support for the topic by using less than 2 pieces of literature. Provides a minimal overview of the topic at hand.
0 points
Not present
Participants
14 to 15 points
Clearly and accurately describes the target population, sample size, type of sample, and the sampling procedures. Provides demographic information and support for adequate sample size.
13 points
Describes the target population, sample size, type of sample, and the sampling procedures. Provides demographic information and some support for adequate sample size.
1 to 12 points
Somewhat describes target population, sample size, type of sample, and the sampling procedures. Does not provides demographic information and/or support for adequate sample size.
0 points
Not present
Setting
14 to 15 points
Important features of the site and treatment setting are clearly identified. The setting, especially the treatment setting is described in sufficient details so that the study could be replicated.
13 points
Important features of the site and treatment setting are mentioned. The setting, especially the treatment setting needs to be described in detail but lacking some key features.
1 to 12 points
Important features of the site and treatment setting are identified but not clearly. The setting is lacking some key features.
0 points
Not present
Research Design
14 to 15 points
Research design and all variables are clearly identified. Provides a logical and accurate rationale that is supported by research texts and other literature.
13 points
Research design and most variables are identified. Provides a rationale that is supported by research texts and other literature.
1 to 12 points
Research design and variables are inaccurately identified. Fails to provide a rationale that is supported by research texts and other literature.
0 points
Not present
Instrumentation
24 to 25 points
Clearly describes instrument including the name, purpose, and contents. Scales of measurement and the scoring procedures are clearly explained. Validity of the instrument is discussed using previous studies to establish validity. Reliability of the instrument is discussed including reliability coefficients.
22 to 23 points
Describes instrument including the name, purpose, and contents. Scales of measurement and the scoring procedures are .
CONNECTIONSCore competenciesAnalytic InquiryUse of .docxmargaretr5
This document outlines an assignment for students to conduct an organizational communication audit. Students are instructed to administer a communication survey within an organization to assess communication across five areas. Students will then analyze the survey results to identify a key communication challenge. Based on research, students will recommend solutions to address the identified challenge and present their findings. The assignment aims to demonstrate competencies in organizational communication analysis and consultation.
This document provides tips for fast-tracking a quantitative methodology dissertation, including establishing clear goals and communication with your committee, developing strong research questions and variables of interest, planning an appropriate data collection and analysis strategy using validated instruments and statistical software, and maintaining consistency throughout the process. Key recommendations include running a power analysis, using pre-existing surveys when possible, and having a detailed plan for addressing each research question and analyzing the data. Following these tips can help students efficiently complete the methodology chapter and overall dissertation.
IHP 525 Final Project Data Analysis Guidelines and Rubric MalikPinckney86
IHP 525 Final Project Data Analysis Guidelines and Rubric
Overview
Now that you have submitted your article review, you will submit Your Final Project Data Analysis. The Final Project Article Review was an opportunity to
demonstrate your ability to interpret statistics included in an article. The Final Project Data Analysis is a chance to show that you know how to choose the
correct statistics to analyze a set of data and calculate these using software.
Regardless of their field of interest, health professionals across disciplines need to be able to run basic biostatistical calculations to describe a set of data.
The Final Project Data Analysis reinforces these critical skills by asking you to conduct your own analysis of a small data set, explain the basic parameters of the
data, graph it, and run simple tests. You will present this data analysis in a brief statistical report, using language appropriate to a non-technical audience.
The Final Project Data Analysis consists of four milestones, submitted in Modules Two, Three, Five, and Seven. The final submission occurs in Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Perform basic, context-appropriate statistical calculations and hypothesis testing in accurately analyzing biostatistical data
Interpret key biostatistical metrics, methods, and data for addressing population-based health problems
Communicate biostatistical results, procedures, and analysis to other health professionals and the general public for informing their decisions related to
population-based health problems
Prompt
Biostatisticians are constantly called upon to analyze data in order to help researchers and health officials answer critical questions about populations’ health.
For this assessment, you will imagine you are a biostatistical consultant on a small study for a local health organization. In the Assignments Guidelines and
Rubrics area of the course, you will use the Data Analysis Data Set and Data Analysis Data Description, along with some background information on how and
when the data was collected and the general research question the organization is interested in answering. This is often the way you will receive data in the real
world.
Your task is to help the organization answer their question by critically analyzing the data. You will compute your chosen statistics, interpret the results, and
present the results and recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a
statistical standpoint. Be sure to justify your conclusions and recommendations with appropriate statistical support.
Specifically, you must address the critical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets).
I. Introduction
A. State the overall health question you have been asked ...
Project Designing a Database using MS AccessDescription Work.docxwoodruffeloisa
Project: Designing a Database using MS Access
Description: Working in a team of two members, you have to design a Database for an organization.
The project will be completed and submitted incrementally. You will have to submit the project in three phases. Every increment submission will be accompanied by a presentation of completed work.
In the first phase you need to work on the following: (30 points)
1. Determine the purpose of your database
2. Design the DFD (Data Flow Diagram) for your system. Recommended tool to design DFD is MS Visio or Visual Paradigm but it is not required.
3. Design the ERD (Entity Relationship Diagram)
In the second phase you need to work on the following: (40 points)
1. Find and organize the information required
2. Divide your information items into major entities or subjects, such as Products or Orders. Each subject then becomes a table.
3. Decide what information you want to store in each table. Each item becomes a field, and is displayed as a column in the table. For example, an Employees table might include fields such as Last Name and Hire Date.
4. Choose each table’s primary key. The primary key is a column that is used to uniquely identify each row. An example might be Product ID or Order ID.
In the third & final phase you need to the following: (30 points)
1. Apply the data normalization rules to see if your tables are structured correctly. Make adjustments to the tables, as needed.
2. Write SQL (Structured Query language) to retrieve the data
Briefly described your healthcare organization, including its culture and readiness for change.
SLIDE 3
Described the current problem or opportunity for change. The circumstances surrounding the need for change, the scope of the issue, the stakeholders involved, and the risks associated with change implementation in general was described.
Proposed an evidence-based idea for a change in practice using an evidence-based practice approach to decision making.
SLIDE 5
• Described your plan for knowledge transfer of this change, including knowledge creation, dissemination, and organizational adoption and implementation.
SLIDE 6
Described the measurable outcomes.
RECOMMENDING AN EVIDENCE-BASED PRACTICE CHANGE
student’s name
instructor
course
date
Organizational Culture And Readiness For Change
The first assessment will help to determine the ability of the current organization to accept change to the nursing practice
Prior assessment of the organization’s challenges to change embracement is key to provide solutions to health care problems in the society
According to the Organization Culture Assessment Instrument (OCAI), the staff responses indicate the willingness of the organization to change
Current Problem Or Opportunity For Change
The need for change is to reduce falls
The main barrier to this facility is lack of sufficient knowledge about evidence-based practice implementation
Patients with falls require a long duration of hospital stay ...
NR360 Information Systems in Healthcare RUA We Can, BuMoseStaton39
NR360 Information Systems in Healthcare
RUA: We Can, But Dare We? Guidelines
NR360_RUA_We_Can_But_Dare_We_Guidelines Revised: July 2020 1
Purpose
The purpose of this assignment is to investigate informatics in healthcare and to apply professional, ethical, and legal
principles to its appropriate use in healthcare technology.
Course outcomes: This assignment enables the student to meet the following course outcomes:
CO 4: Investigate safeguards and decision‐making support tools embedded in patient care technologies and information
systems to support a safe practice environment for both patients and healthcare workers. (PO 4)
CO 6: Discuss the principles of data integrity, professional ethics, and legal requirements related to data security,
regulatory requirements, confidentiality, and client’s right to privacy. (PO 6)
CO 8: Discuss the value of best evidence as a driving force to institute change in the delivery of nursing care. (PO 8)
Due date: Your faculty member will inform you when this assignment is due . The Late Assignment Policy applies to
this assignment.
Total points possible: 240 points
Requirements:
• Research, compose, and type a scholarly paper based on the scenario provided by your faculty, and choose a
conclusion scenario to discuss within the body of your paper. Reflect on lessons learned in this class about
technology, privacy concerns, and legal and ethical issues and address each of these concepts in the paper. Consider
the consequences of such a scenario. Do not limit your review of the literature to the nursing discipline only because
other health professionals are using the technology, and you may need to apply critical thinking skills to its
applications in this scenario.
• Use Microsoft Word and APA formatting. Consult your copy of the Publication Manual of the American Psychological
Association, as well as the resources in Doc Sharing if you have questions (e.g., margin size, font type and size
(point), use of third person, etc.). Take advantage of the writing service SmartThinking, which is accessed by clicking
on the link called the Tutor Source, found under the Course Home area.
• The length of the paper should be four to five pages, excluding the title page and the reference page. Limit the
references to a few key sources (minimum of three required).
• The paper will contain an introduction that catches the attention of the reader, states the purpose of the paper, and
provides a narrative outline of what will follow (i.e., the assignment criteria).
• In the body of the paper, discuss the scenario in relation to HIPAA, legal, and other regulatory requirements that
apply to the scenario and the ending you chose. Demonstrate support from sources of evidence (references)
included as in‐text citations.
• Choose and identify one of the possible endings provided for the scenario, and construct your paper based on its
implications to the scenario. Make recommendati ...
NUR 440 Peer Review Guidelines and Rubric Overview Th.docxvannagoforth
NUR 440 Peer Review Guidelines and Rubric
Overview: The purpose of peer review is to facilitate quality-nursing care through best practice discovered in evidence-based research. According to the
American Nurses Association, “peer review in nursing is the process by which practicing registered nurses systematically access, monitor, and make judgments
about the quality of nursing care provided by peers as measured against professional standards of practice. Peer review implies that the nursing care delivered
by a group of nurses or an individual nurse is evaluated by individuals of the same rank or standing according to established standards of practice.” Peer review
helps not only the author but the reviewer as well through the development of a critical eye which can then be applied to their own work.
Prompt
As the reviewer:
When you peer review another’s work, you will critically evaluate and suggest improvements. You will likely read the abstract once or twice before delving in with
comments and first impressions. Using the checklist below, identify strengths and areas for improvement, being sure to address each critical element in your
review.
Peer Review Checklist:
x Aims and objectives: Is the purpose clearly stated?
x Background: Does the author offer background on the subject?
x Methods: Are the methods clearly stated? What type of method did the author use?
x Results: Are the results valid and reliable?
x Conclusions: Are the conclusions clearly stated and are they informed by the results?
x Relevance to clinical practice: Does the author state the relevancy to clinical practice?
x Articulation of response (e.g., citations, grammar, spelling, syntax, organization)
You will be evaluated on your peer reviews, not the abstract submitted, using the rubric below.
As the author of the abstract, remember the following:
x Read the review carefully, avoiding any desire to defend your choices.
x If you are unclear what the reviewer means, ask them to clarify.
x If you have any questions, feel free to pose them to the reviewer.
x Take special note of repeated commentary (e.g., grammar, citation, etc.) as this may signify an area for improvement.
x Thank the reviewers for their feedback. If some commentary was especially helpful, this is useful information for the reviewer.
x Accept that negative feedback comes with the territory. Your job is not to make everyone happy but to make your work the best that it can be.
https://americannursetoday.com/nursing-peer-review-principles-and-practice/
Guidelines for Submission: You must submit your abstract to the provided discussion for review by Sunday of the previous module. When choosing two abstracts
for review, be sure to select peers who have not yet received feedback. Each of your reviews should be 2–3 paragraphs in length.
Rubric
Critical Elements Exemplary (100%) Proficient (85%) Needs Improvement (55%) Not Evident (0%) Value
Analysis Mee ...
Introduction to Epidemiology Course Project Detailed Article Cri.docxmariuse18nolet
Introduction to Epidemiology Course Project
Detailed Article Critique
Reading, interpreting, and judging the value of epidemiologic literature is a skill that you will exercise throughout your academic career in public health and beyond. To help prepare you for your thesis or capstone experience as well as future coursework, your project this term involves writing a detailed critique of an article. (See link in blackboard.) Construct your critique using complete paragraphs. DO NOT present your critique as an outline.
Please consult the table on the next page to ensure that your review includes the required major elements for this assignment. We will use this table in our evaluation of your project. Each element is worth a specified number of points. Please understand that full credit will not be awarded for simply mentioning each element. You must justify your assessment. For example, you cannot simply state, “The authors justified the importance of their study.” You need to point out how the authors did or did not meet each criterion. Your critique should not be longer than 4-6 pages double-spaced with one-inch margins. There is no minimum page requirement.
For additional assistance, please refer to the article by Young et al. (2009) that is also posted in Blackboard along with the article that you are to review.
See next page for more details. ( ( ( ( ( (
Name___________________________
Element
Possible Points
Grade
Objectives:
· What is/are the research question(s) addressed by this study?
· Did the authors justify the need for their study? What was it?
5
5
Study Design:
· Describe the study design and methods used for the study.
· Critique the overall design by addressing the following:
· Did the authors correctly identify their study design (e.g., the authors stated that their study was a cohort study when it really was a cross-sectional study)?
· Did the authors present clear definitions of their exposure/health outcomes?
· Did the authors adequately describe their sampling (e.g., convenience, consecutive, or random; response rate; study population) and data collection methods (e.g., questionnaire, records, biomarkers, surveys, etc.)?
15
10
Analysis:
· Describe the data analysis plan overall.
· Critique the analysis plan by addressing the following:
· Is the analysis appropriate for the study design (considering you level of statistical knowledge)? Was potential confounding addressed in the analysis stage? If so, how?
· Are the tables and graphs well organized and labeled? Do the tables and graphs provide enough data for reader to draw their own conclusions (e.g. do they stand alone?)?
· Are the findings within the tables/figures consistent? Is each table/figure consistent with the text and other tables/figures?
· Can the findings be attributed simply to chance?
5
10
Validity and Conclusions:
· Internal validity- Consider the potential for selection bias, information bias, and .
HRCU 351 Week 6 Paper 2 EthicsGuidelines and Grading RubricPazSilviapm
HRCU 351 Week 6: Paper 2 Ethics
Guidelines and Grading Rubric
Length: 3-4 double-spaced pages (excluding title and references pages)
Due: Week 6 by Sunday Midnight
Value: 110 Points
Post: Week 6 Assignments
Prepare a 3 – 4 page (not including cover or reference pages) research-based paper that: 1) identifies two (2) recent examples of actual ethical workforce planning issues 2) details and explain the ethical issues and impact on the workplace 3) makes specific recommendations for solving/avoiding these ethical issues and 4) identifies two (2) insights gained into navigating workplace and staffing issues. Students should integrate 4 or more scholarly sources including 3 journal articles and at least one direct quote from the course textbook.
The analysis should:
· Identify two (2) recent examples of actual ethical workforce planning issues
· Detail and analyze the ethical issues and impact on the workplace
· Make specific recommendations for solving/avoiding these ethical issues
· Identify two (2) insights gained into navigating workplace and staffing issues.
· 4 or more scholarly sources including 3 journal articles.
· At least one direct quote from our course textbook.
Rubric: Evaluation Criteria
CriteriaExemplaryProficientDevelopingEmergingNo credit
Ethical Examples
20 - 23
Clearly and concisely describes 2 examples of a ethical workplace issues.
22 - 17
Fairly clearly describes 2 best practices
16 - 12
Somewhat clearly describes 1 - 2 best practices
11- 1
Limited if any description of best practices
0
Assignment, meeting grading criteria, was not submitted.
Analysis
20 - 23
Provides a thorough analysis of each ethical issue that is supported by citations of expert theories and research. Defines and uses all key terms comprehensively.
22 - 17
Mostly provides a thorough analysis of each ethical issue that is supported by citations of expert theories and research. Defines most key terms and explains them to somewhat comprehensively.
16 - 12
Analysis of each ethical issue that is supported by some citations of expert theories and research. May not define key terms and/or discuss why practices are effective.
11- 1
Analysis is not supported by research or citations. Does not define key terms and/or discuss why practices are effective.
Assignment, meeting grading criteria, was not submitted.
Recommendations
20 - 23
Accurately uses findings of comparing best and actual organizational practices to make specific recommendations that would strengthen ethical staffing strategies or practices.
22 - 17
Fairly accurately uses findings of comparing best and actual organizational practices to make fairly specific recommendations that may strengthen ethical staffing strategies or practices.
16 - 12
Somewhat uses findings of comparing best and actual organizational practices to make general recommendations; that may or may not strengthen ethical staffing strategies or practices.
11- 1
Recommendations if made to improve employ ...
Descriptive Statistics and Interpretation Grading GuideQNT5.docxtheodorelove43763
This document outlines a sampling and data collection plan to test whether implementing a Total Quality Management (TQM) system will increase product quality at PhoenixSolar. The target population includes production workers, managers, engineers, technicians, and customers who will provide insights through focus groups and surveys. A sample size of 385 is needed for a 95% confidence level. Internal employees will participate in exploratory focus groups, while external groups like technicians and customers will complete paper, email, and installation surveys. Validity, reliability, and privacy protocols are defined. The plan is to analyze responses over six months to determine if TQM increases quality and customer satisfaction at PhoenixSolar.
Similar to Remarks from the professor on milestone 1 and for milestone 2A.docx (18)
A brief description of your employment historyYour career .docxsodhi3
A brief description of your employment history
Your career goals (both short and long term)
Tell me about a leader you look up to. This can be someone you know or don't know, famous or familiar to you, and can even be a TV/Movie character and does not need to real. Describe what this person does makes them your role model.
(My name is Danny Z. i'm a full time student )
.
A budget is a plan expressed in dollar amounts that acts as a ro.docxsodhi3
A budget is a plan expressed in dollar amounts that acts as a road map to carry out an organization’s objectives, strategies and assumptions. There are different types of budgets that healthcare organization use to manage its financial and managerial goals and obligations.
Discuss the difference between an operating budget and a capital budget. What are the steps in creating each budget?
At least 150 words; APA Format
.
A 72-year-old male with a past medical history for hypertension, con.docxsodhi3
A 72-year-old male with a past medical history for hypertension, congestive heart failure, chronic back pain, and diabetes is admitted to the hospital for hypotension suspected from a possible accidental overdose. What are the criteria for discharge? Explain the importance of utilizating hospital recommendations and teachings. List some meaningful community resources in the response.
.
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Code of Ethics: This is a synopsis of some of the most important ethical
considerations you need to be aware of as a professional in the real estate
industry.
Terminology:
Agency: The fiduciary relationship created between a principal and an agent whereby the agent
can act on behalf of the principle for certain transactions. Agency is usually created when the
principal signs a listing agreement to list their property for sale or a management contract to rent
a property for instance.
Agent: The broker or sales associate acting on behalf of the principal (see Agency)
Client: The person with whom the broker or sales associate has a legal contract to represent.
Customer: Is not contractually bound to the industry professional
Principal: Person who hires an agent to act on his or behalf.
Code of Ethics:
#1: The agent has a responsibility to promote the interests of their client(s) and treat all involved
in any real estate transaction in an honest and fair manner. They must disclose if they are a
dual agent (representing both buyer and seller in a transaction) or a designated agent
(represent either the buyer or seller depending on state law), or they are a limited representative
(will provide only certain duties in the transaction per state law).
#2: Agents must openly acknowledge to clients any personal interest they might have in any
transaction prior to showing a property; they must acknowledge any personal relationships
involved. Ex: Agent says, “I want to disclose to you before we look at it, that this property
belongs to is my brother and my sister in-law is his agent.”
#3: The Agent will not allow anyone that is not pre-authorized by the owner, to access the
property of the client.
#4: Never overstate benefits or attributes of a property or opportun.
a brief explanation of the effect of Apartheid in South Africa. Prov.docxsodhi3
a brief explanation of the effect of Apartheid in South Africa. Provide two specific examples that demonstrate how people adapted. Finally explain the impact and implications of the changes we have seen in recent years. Cite specific cases. Your original post must be no less than 600 words.
.
A 32-year-old female presents to the ED with a chief complaint of fe.docxsodhi3
A 32-year-old female presents to the ED with a chief complaint of fever, chills, nausea, vomiting, and vaginal discharge. She states these symptoms started about 3 days ago, but she thought she had the flu. She has begun to have LLQ pain and notes bilateral lower back pain. She denies dysuria, foul-smelling urine, or frequency. States she is married and has sexual intercourse with her husband. PMH negative.
Labs: CBC-WBC 18, Hgb 16, Hct 44, Plat 325, Neuts & Lymphs, sed rate 46 mm/hr, C-reactive protein 67 mg/L CMP wnl
Vital signs T 103.2 F Pulse 120 Resp 22 and PaO2
99% on room air. Cardio-respiratory exam WNL with the exception of tachycardia but no murmurs, rubs, clicks, or gallops. Abdominal exam + for LLQ pain on deep palpation but no rebound or rigidity. Pelvic exam demonstrates copious foul-smelling green drainage with reddened cervix and + bilateral adenexal tenderness. + chandelier sign. Wet prep in ER + clue cells and gram stain in ER + gram negative diplococci.
Develop a 1- to 2-page case study analysis, examining the patient symptoms presented in the case study. Be sure to address the following as it relates to the case you were assigned (omit section that does not pertain to your case, faculty will give full points for that section).
The sections that you are to omit are for the above case study are: 1. Explain why prostatitis and infection happen. Also explain the causes of systemic reaction, 2. Explain why a patient would need a splenectomy after a diagnosis of ITP, and 3. Explain anemia and the different kinds of anemia (i.e., micro and macrocytic).
In your Case Study Analysis related to the scenario provided, explain the following:
The factors that affect fertility (STDs).
Why inflammatory markers rise in STD/PID.
Why prostatitis and infection happens. Also explain the causes of systemic reaction.
Why a patient would need a splenectomy after a diagnosis of ITP.
Anemia and the different kinds of anemia (i.e., micro and macrocytic).
PLEASE ANSWER IN DETAIL ALL OF THE ABOVE
.
A 4 years old is brought to the clinic by his parents with abdominal.docxsodhi3
A 4 years old is brought to the clinic by his parents with abdominal pain and a poor appetite. His mother states, “He cries when I put him on the toilet.”
1. What other assessment information would you obtain?
2. What interventions may be necessary for this child?
3. What education may be necessary for this child and family?
Your responses must be at least 150 words total.
.
A 19-year-old male complains of burning sometimes, when I pee.”.docxsodhi3
A 19-year-old male complains of “burning sometimes, when I pee.” He is sexually active and denies using any contraceptive method. He denies other symptoms, significant history, or allergies.
From the information provided, list your differential diagnoses in the order of “most likely” to “possible but unlikely.”
.
A 34-year-old trauma victim, the Victor, is unconscious and on a.docxsodhi3
A 34-year-old trauma victim, the Victor, is unconscious and on a ventilator. He was admitted yesterday, and his condition remains critical. His religious affiliation is unknown; however, he has a tattoo of a crucifix.
What can the nurse do to assess and integrate spirituality into Victor’s care? If the family is in another state what can the nurse do to integrate the family into the care?
Your initial post must include a minimum of 300 words and include proper grammar, punctuation, and reference(s).
.
A 27-year-old Vietnamese woman in the delivery room with very st.docxsodhi3
A 27-year-old Vietnamese woman in the delivery room with very strong and closely spaced contractions. The baby was positioned a little high and there was some discussion of a possible c- section. Despite her difficulties, she cooperates with the doctor's instructions and labors in silence. The only signs of pain or discomfort were her look of concentration and her white knuckles.
· Should she be offered pain medication when she is not showing a high level of pain? Why or why not?
350 words
APA
.
A 25 year old male presents with chronic sinusitis and allergic .docxsodhi3
A 25 year old male presents with chronic sinusitis and allergic rhinitis.
Define adaptive vs. acquired immunity.
Discuss the genetic predisposition of allergens.
Describe the antigen-antibody response.
What is the pathology of sinusitis?
Expectations
Initial Post of Case Study:
Due: Saturday, 11:59 pm PT
Length: A minimum of 250 words, not including references
Citations: At least one high-level scholarly reference in APA from within the last 5 years
Peer Responses:
Due: Monday, 11:59 pm PT
Number: A Minimum of 2 to Peer Posts, at least one on a different day than the main post
Length: A minimum of 150 words per post, not including references
Citations: At least one high-level scholarly reference in APA per post from within the last 5 years
Discussion: Respond to Posts in Your Own Thread
.
A 500-700 word APA formatted PaperInclude 2 sources on your re.docxsodhi3
A 500-700 word APA formatted Paper
Include 2 sources on your reference page in addition to your textbook "
We the People
."
Select one issue area: CIVIL RIGHTS
Research which interest groups represent your issue area
Examine the membership and benefits of groups
Provide data on how much groups contribute to politicians
Discuss legislation the groups helped influence
Include reference page
Submit
your summary in APA format clicking on the assignment in Canvas and uploading your document. Be sure whichever assignment version you choose has an introduction, clear focus, conclusion, and references. Include a reference page for the video clip if that’s what you decide to prepare.
.
A 65-year-old obese African American male patient presents to his HC.docxsodhi3
A 65-year-old obese African American male patient presents to his HCP with crampy left lower quadrant pain, constipation, and fevers to 101˚ F. He has had multiple episodes like this one over the past 15 years and they always responded to bowel rest and oral antibiotics. He has refused to have the recommended colonoscopy even with his history of chronic inflammatory bowel disease (diverticulitis), sedentary lifestyle, and diet lacking in fiber. His paternal grandfather died of colon cancer back in the 1950s as well. He finally underwent colonoscopy after his acute diverticulitis resolved. Colonoscopy revealed multiple polyps that were retrieved, and the pathology was positive for adenocarcinoma of the colon.
Develop a 1- to 2-page case study analysis in which you:
Explain why you think the patient presented the symptoms described.
Identify the genes that may be associated with the development of the disease.
Explain the process of immunosuppression and the effect it has on body systems.
.
A 5-year-old male is brought to the primary care clinic by his m.docxsodhi3
A 5-year-old male is brought to the primary care clinic by his mother with a chief complaint of bilateral ear pain with acute onset that began “yesterday.” The mother states that the child has been crying frequently due to the pain. Ibuprofen has provided minimal relief. This morning, the child refused breakfast and appeared to be “getting worse.”
Vital signs at the clinic reveal HR 110 bpm, 28 respiratory rate, and tympanic temperature of 103.2 degrees F. Weight is 40.5 lbs. The mother reports no known allergies. The child has not been on antibiotics for the last year. The child does not have history of OM. The child is otherwise healthy without any other known health problems.
Physical examination reveals: Vital signsl HR 110 bpm, 28 respiratory rate, and tympanic temperature of 103.2 degrees F. Weight is 40.5 lbs. Bilateral TMs are bulging with severe erythematous. Pneumatic otoscopy reveals absent mobility. Ear canals are nomal.
After your questioning and examination, you diagnose this child with bilateral Acute Otitis Media.
.
92 S C I E N T I F I C A M E R I C A N R e p r i n t e d f r.docxsodhi3
92 S C I E N T I F I C A M E R I C A N R e p r i n t e d f r o m t h e O c t o b e r 1 9 9 4 i s s u e
ome creators announce their inventions with grand
éclat. God proclaimed, “Fiat lux,” and then flooded
his new universe with brightness. Others bring forth
great discoveries in a modest guise, as did Charles
Darwin in defining his new mechanism of evolu-
tionary causality in 1859: “I have called this principle, by which
each slight variation, if useful, is preserved, by the term Natur-
al Selection.”
Natural selection is an immensely powerful yet beautifully
simple theory that has held up remarkably well, under intense
and unrelenting scrutiny and testing, for 135 years. In essence,
natural selection locates the mechanism of evolutionary change
in a “struggle” among organisms for reproductive success, lead-
ing to improved fit of populations to changing environments.
(Struggle is often a metaphorical description and need not be
viewed as overt combat, guns blazing. Tactics for reproductive
success include a variety of nonmartial activities such as earlier
and more frequent mating or better cooperation with partners
in raising offspring.) Natural selection is therefore a principle of
local adaptation, not of general advance or progress.
Yet powerful though the principle may be, natural selection
is not the only cause of evolutionary change (and may, in many
cases, be overshadowed by other forces). This point needs em-
phasis because the standard misapplication of evolutionary the-
ory assumes that biological explanation may be equated with
devising accounts, often speculative and conjectural in practice,
about the adaptive value of any given feature in its original en-
vironment (human aggression as good for hunting, music and
religion as good for tribal cohesion, for example). Darwin him-
self strongly emphasized the multifactorial nature of evolu-
tionary change and warned against too exclusive a reliance on
natural selection, by placing the following statement in a max-
imally conspicuous place at the very end of his introduction: “I
am convinced that Natural Selection has been the most impor-
tant, but not the exclusive, means of modification.”
Reality versus Conceit
N A T U R A L S E L E C T I O N is not fully sufficient to explain evo-
lutionary change for two major reasons. First, many other caus-
es are powerful, particularly at levels of biological organization
both above and below the traditional Darwinian focus on or-
ganisms and their struggles for reproductive success. At the low-
est level of substitution in individual base pairs of DNA, change
is often effectively neutral and therefore random. At higher lev-
els, involving entire species or faunas, punctuated equilibrium
can produce evolutionary trends by selection of species based
on their rates of origin and extirpation, whereas mass extinc-
tions wipe out substantial parts of biotas for reasons unrelat-
ed to adaptive struggles of constituent species in “normal”
t.
a 100 words to respond to each question. Please be sure to add a que.docxsodhi3
a 100 words to respond to each question. Please be sure to add a question and answer a fellow student's question.
Q1. Mead argues that most human understanding of the "self" of animals is fallacious. What is his argument, please explain.
Q2. What does Lacan mean by the subject's assumption of the imago in the short excerpt from the Mirror Stage?
.
A 12,000 word final dissertation for Masters in Education project. .docxsodhi3
A 12,000 word final dissertation for Master's in Education project. A UK L7 writing.
Submitting the dissertation
The dissertation will be submitted online via
blackboard.
Presentation Style
Your research project needs to be clearly presented:
·
The front page should include your
name, project title (around 15 words), your supervisor’s name, the date it
was completed;
·
Work should be presented single
sided, in Arial, minimum font size 11 and be one and a half spaced;
·
A contents page detailing the section
and any tables/charts should be included;
·
Any quotes of less than 12 words
should be identified by quotation marks and kept as part of the paragraph text;
·
Quotes of 12 words and above should
be separated out from the text, indented on the left and right and be displayed
in italics (no quotation marks required);
·
All tables and charts should be
numbered appropriately and have a title;
·
Each section of your project should
be started on a new page;
·
All pages should be numbered;
·
Each section should be numbered (e.g.
1. Introduction) and any charts/graphs within the section should be numbered
accordingly. For example if you are writing about something in section 4.1 (the
first sub-section) then the first chart or graph would be 4.11. So charts and
graphs (if included) are numbered according to the section/sub-section.
Word limit
The project should be written up in
no more than 12,000
words
. This includes everything except the reference list, any appendices
and acknowledgements.
A
final checklist:
1.
Does
your abstract say succinctly what the project set out to do and what has been
found?
2.
Does
your contents page signpost chapter subheadings as well as chapter headings?
3.
Has
your introduction made clear the sub questions/objectives you are addressing in
this enquiry
4.
Is
a framework presented in your lit review chapter and a methodological approach
presented in your methodology chapter, and is it clear how this framework and
methodology inform your data collection, presentation of findings and
discussion and reflections? Have you discussed your positionality?
5.
Does
your discussion chapter relate closely to the data in your results chapter and
tie back to the literature in your literature review?
6.
Have
you answered your research questions?
7.
Have
you carefully considered any ethical implications of your research?
8.
Have
you included a signed, anonymised ethics form in the appendix?
9.
Does
your conclusion summarise what has been found out about the questions you set
yourself in your introduction?
10.
Have you kept to the 12,000 word
limit?
11.
Have you met
all
the assessment criteria?
M
odule
Bibliogr
a
p
h
y
Compulsory
reading:
B
r
y
m
an
,
A
.
(
20
1
6
)
.
S
o
ci
a
l
r
e
s
ea
r
ch
m
e
t
h
o
d
s
(
5
t
h
e
d
.
)
.O
x
f
o
rd
:
O
x
f
o
r
d
U
n
i
v
e
r
sity
P
r
e
ss.
Further optional reading
:
A
l
de
r
s
o
n
,
P
.
&
M
o
rr
o
w
,
V
.
(2
011
)
.
T
h
.
9/18/19
1
ISMM1-UC 752:
SYSTEMS ANALYSIS
Fall 2019 – Lecture 3
Instructor: Dr. Antonios Saravanos
Incremental Model
• Development and delivery of
functionality occurs in increments
• Works well when requirements are
known beforehand
• Projects are broken down into sub-
projects
Source: Project Management for IT-Related Projects (p.
18)
2
9/18/19
2
Incremental Cycle
Incremental Model
9/18/19
3
Iterative Model
• Ideal for situations where not all requirements are
known up front
• Need for development to begin as soon as possible
Source: Project Management for IT-Related Projects (p. 19)
5
Iterative Cycle
9/18/19
4
Iterative Model
Incremental vs. Iterative
• Incremental fundamentally means
add onto. Incremental development
helps you improve your process.
• Iterative fundamentally means re-
do. Iterative development helps you
improve your product.
9/18/19
5
• Is iterative and incremental the
same thing?
Incremental vs. Iterative
Source: http://www.applitude.se/images/inc_vs_ite.png
10
9/18/19
6
Iterative and Incremental Combined
A Simple Software Development Method
• Initial Planning
• Design
• Implementation
• Testing
Source: Making Things Happen: Mastering Project Management (p. 30)
12
n
9/18/19
7
Alistair Cockburn
• What’s Alistair’s take on Iterative vs. Incremental?
Incremental vs. Iterative
• in incremental development, you do each of those
activities multiple times … that is, you go around the
requirements – design – programming – testing –
integration – delivery cycle multiple times. You
“iterate” through that cycle multiple times. (“iterate” –
get it? sigh…)
• in iterative development, you also do each of those
activities multiple times … you go around the
requirements – design – programming – testing –
integration – delivery cycle multiple times. You
“iterate” through that cycle multiple times. By Gummy!
Both of those are “iterative” development! WOW!
9/18/19
8
Incremental vs. Iterative (cont’d)
• Of course, the $200,000 question is,
do you repeat the cycle “on the same
part of the system you just got done
with” or “on a new part of the
system”? How you answer that
question yields very different results
on what happens next on your
project.
Roles
• Product Owner (Business)
– Represents the customer
– Controls the product backlog
– Signs off on deliverables
• The Scrum Master
– Ensures scrum values are understood and kept
– Tracks progress and finds ways to overcome obstacles
• The Development Team
– The people actually responsible for delivering the system
– Self-organizing unit
– Members of the team are generalists not specialists
• Cross functional (Each member of the team knows all aspects of the
product that is being developed)
16
9/18/19
9
The Agile System Development Methodology
17
Manifesto for Agile Software Development
18
9/18/19
10
Manifesto for Agile Software Development
Source: http://www.applitude.se/images/inc_vs_i.
96 Young Scholars in WritingFeminist Figures or Damsel.docxsodhi3
96 | Young Scholars in Writing
Feminist Figures or Damsels in Distress?
The Media’s Gendered Misrepresentation
of Disney Princesses
Isabelle Gill | University of Central Florida
A gender bias seems to exist when discussing Disney princesses in entertainment media that could have
significant consequences for girls who admire these heroines. Prior research and my own extensions have
shown that modern princesses display almost equal amounts of masculine and feminine qualities; how-
ever, my research on film reviews shows an inaccurate representation of these qualities. These media
perpetuate sexist ideals for women in society by including traditionally feminine vocabulary, degrading
physical descriptions, and inaccuracies about the films, as well as syntax and critiques that trivialize the
heroines’ accomplishments and suggest the characters are not empowered enough. The reviews also
encourage unhealthy competition between the princesses and devote significantly more words to these
negative trends than to positive discussions. These patterns result in the depiction of the princesses as
more stereotypically feminine and weak than is indicated by the films themselves, which hinders the cre-
ation of role models for girls.
Despite significant strides women have made
toward combatting sexism in American
society, news and entertainment media rep-
resentations of women continue to be one of
the many obstacles left before reaching
equality. Numerous studies have identified
gender bias in the ways media represent
women (Fink and Kensicki; Niven and
Zilber; Shacar; Wood). Media tend to favor
representations of women who are “tradi-
tionally feminine” as well as not “too able,
too powerful, or too confident,” over more
complex representations (Wood 33). For
example, research by Janet Fink and Linda
Jean Kensicki shows that when media aimed
at both men and women discuss female ath-
letes, their focus is on sex appeal, fashion,
and family rather than athletic accomplish-
ment. Female scientists as well as female
members of Congress also fall victim to this
trend. Interviews with male scientists often
portray them as primarily professionals
while interviews with female scientists tend
to reference their professionalism while high-
lighting domesticity and family life (Shacar).
Similarly, media descriptions of the female
members of Congress focus on domestic
issues even though the congresswomen por-
tray themselves as having diverse interests
(Niven and Zilber). In sum, biased, gendered
representations of women are common in
various forms of media.
Media misrepresentation of women in
these ways can lead to significant social
consequences, such as reinforcing anti-
quated gender roles and diminishing the
perception of women’s impact on society
(England, Descartes, and Collier-Meek;
Fink and Kensicki; Graves; Niven and
Zilber; Shacar; Wood). Since media are
Gill | 97
Gill | 97
likely one of the most p.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Remarks from the professor on milestone 1 and for milestone 2A.docx
1. Remarks from the professor on milestone 1 and for milestone 2
A good start on the paper. Please look at the introduction
again. It does not match the case problem or what the issues of
the company are. If you look at the first paragraph it does not
lead into the next paragraph and the facts and flow are
disjointed.
I read through the paper and it is a series of unjoined statements
that don't really flow into a research work. You do have the
correct issue that monthly variance in demand is the key to
solving the problem but the supporting work for this statement
is not there.
The next step for milestone 2 is to analyze the descriptive
statistics, ANOVA and correlation/regression asked for in the
case. From that you should see how to develop a model to
correct the forecasting problem. Make sure your Milestone 2,
gives a model that solves the problem.
QSO 510 Milestone Two Guidelines and Rubric
The final project for this course is the creation of a statistical
analysis report. Operations management professionals are often
relied upon to make decisions
regarding operational processes. Those who utilize a data-
driven, structured approach have a clear advantage over those
offering decisions based solely on
intuition. You will be provided with a scenario often
encountered by an operations manager. Your task is to review
2. the “A-Cat Corp.: Forecasting” scenario, the
addendum, and the accompanying data in the case scenario and
addendum.
In Module Seven, you will submit your selection of statistical
tools and data analysis, which are critical elements III and IV.
You will submit a 3- to 4-page paper
and a spreadsheet that provides justification for the appropriate
statistical tools needed to analyze the company’s data, a
hypothesis, the results of your analysis,
any inferences from your hypothesis test, and a forecasting
model that addresses the company’s problem.
Specifically, the following critical elements must be addressed:
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you
will use to perform your analysis. What are your statistical
assumptions concerning
the data that led you to selecting this family of tools? In other
words, why did you select this family of tools for statistical
analysis?
B. Determine the category of the provided data in the given case
study. Be sure to justify why the data fits into this category
type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most
appropriate tool(s) for analyzing the data provided in the given
case study.
D. Justify why you chose this tool to analyze the data. Be sure
to include how this tool will help predict the use of the data in
driving decisions.
E. Describe the quantitative method that will best inform data-
3. driven decisions. Be sure to include how this method will point
out the relationships
between the data. How will this method allow for the most
reliable data?
IV. Analyze data to determine the appropriate decision for the
identified problem:
A. Outline the process needed to utilize your statistical analysis
to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-
driven decisions. In other words, why is following your outlined
process important?
C. After analyzing the data sets in the case study, describe the
reliability of the results. Be sure to include how you know
whether the results are
reliable.
D. Illustrate a data-driven decision that addresses the given
problem. How does your decision address the given problem?
How will it result in
operational improvement?
Guidelines for Submission: Your paper must be submitted as a
3- to 4-page Microsoft Word document and attached spreadsheet
with double spacing, 12-point
Times New Roman font, one-inch margins, and at least six
sources cited in APA format.
Instructor Feedback: This activity uses an integrated rubric in
Blackboard. Students can view instructor feedback in the Grade
Center. For more information,
review these instructions.
5. appropriate to use or
discussion lacks statistical
assumptions (70%)
Does not determine a family
of statistical tools (0%)
7
Statistical Tools and
Methods: Category
of Provided Data
Meets “Proficient” criteria and
demonstrates insight into the
relationship of categorical
data and statistical tools
(100%)
Determines the category of
the provided data, including
justification to support claims
(90%)
Determines the category of
the provided data but
category is either inaccurate
or discussion lacks justification
to support claims (70%)
Does not determine a
category for the data (0%)
7
6. Statistical Tools and
Methods: Most
Appropriate Tool
Selects the most appropriate
statistical tool used to analyze
the data (100%)
Selects a statistical tool but
selection is not the most
appropriate given the data
(70%)
Does not select a tool to be
used for analysis (0%)
7
Statistical Tools and
Methods: Justify Tool
Meets “Proficient” criteria and
justification demonstrates
insight into the relationship
between statistical tools and
type of data (100%)
Justifies why the tool chosen
is the most appropriate for
analysis of this data (90%)
Justifies why the tool chosen
is the most appropriate for the
analysis but justification is
either illogical or cursory
7. (70%)
Does not justify why a
particular tool was chosen
(0%)
7
Statistical Tools and
Methods:
Quantitative Method
Meets “Proficient” criteria and
description demonstrates
insight into the relationship
between the quantitative
method and data relationships
(100%)
Describes the quantitative
method that will best inform
the decision, including how
this method will point out the
relationships between the
data (90%)
Describes the quantitative
method but either the
method selected will not
result in the most reliable data
or discussion lacks how the
method will point out the
relationships between the
data (70%)
8. Does not describe the
quantitative method (0%)
7
Analyze Data:
Process
Meets “Proficient” criteria and
offers great detail for each
identified step (100%)
Outlines the process needed
to utilize the statistical
analysis (90%)
Outlines the process needed
to utilize the statistical
analysis but steps are either
inappropriate or
overgeneralized (70%)
Does not outline the process
needed to utilize the statistical
analysis (0%)
15
Analyze Data: Valid,
Data-Driven
Decisions
9. Meets “Proficient” criteria and
explanation demonstrates a
nuanced understanding of
how following a process will
lead to a valid decision (100%)
Explains how following the
outlined process leads to a
valid data-driven decision
(90%)
Explains how following the
outlined process leads to a
valid decision but explanation
is inappropriate or cursory
(70%)
Does not offer an explanation
why following the outlined
process leads to a valid
decision (0%)
15
Analyze Data:
Reliability of Results
Meets “Proficient” criteria and
description demonstrates
keen insight into identifying
reliable data (100%)
Describes the reliability of the
results based on data sets,
including a justification to
support claims (90%)
10. Describes the reliability of the
results but description is
either cursory or lacks
justification to support claims
(70%)
Does not describe the
reliability of the results (0%)
15
Analyze Data: Data-
Driven Decision
Meets “Proficient” criteria and
illustration demonstrates a
deep understanding of the
interplay between a problem,
the operation, and operational
improvement (100%)
Illustrates a data-driven
decision that addresses the
problem and operational
improvement (90%)
Illustrates a data-driven
decision that addresses the
problem but illustration is
either inappropriate or
overgeneralized (70%)
Does not illustrate a decision
that addresses the problem
(0%)
11. 15
Articulation of
Response
Submission is free of errors
related to citations, grammar,
spelling, syntax, and
organization and is presented
in a professional and easy to
read format (100%)
Submission has no major
errors related to citations,
grammar, spelling, syntax, or
organization (90%)
Submission has major errors
related to citations, grammar,
spelling, syntax, or
organization that negatively
impact readability and
articulation of main ideas
(70%)
Submission has critical errors
related to citations, grammar,
spelling, syntax, or
organization that prevent
understanding of ideas (0%)
5
Earned Total 100%
12. QSO 510 Milestone One Guidelines and Rubric
The final project for this course is the creation of a statistical
analysis report. Operations management professionals are often
relied upon to make decisions
regarding operational processes. Those who utilize a data-
driven, structured approach have a clear advantage over those
offering decisions based solely on
intuition. You will be provided with a scenario often
encountered by an operations manager. Your task is to review
the “A-Cat Corp.: Forecasting” scenario, the
addendum, and the accompanying data in the case scenario and
addendum.
In Module Three, you will submit your introduction and
analysis plan, which are critical elements I and II of the final
project. You will submit a 3- to 4-page paper
that describes the scenario provided in the case study, identifies
quantifiable factors that may affect operational performance,
develops a problem statement,
and proposes a strategy for resolving a company’s problem.
Specifically, the following critical elements must be addressed:
I. Introduction to the problem:
A. Provide a concise description of the scenario that you will be
analyzing. The following questions might help you describe the
scenario: What is
13. the type of organization identified in the scenario? What is the
organization’s history and problem identified in the scenario?
Who are the key
internal and external stakeholders?
II. Create an analysis plan to guide your analysis and decision
making:
A. Identify any quantifiable factors that may be affecting the
performance of operational processes. Provide a concise
explanation of how these
factors may be affecting the operational processes.
B. Develop a problem statement that addresses the given
problem in the scenario and contains quantifiable measures.
C. Propose a strategy that addresses the problem of the
organization in the given case study and seeks to improve
sustainable operational
processes. How will adjustments be identified and made?
Guidelines for Submission: Your paper must be submitted as a
3- to 4-page Microsoft Word document with double spacing, 12-
point Times New Roman font,
one-inch margins. Sources should be cited according to APA
style.
Instructor Feedback: This activity uses an integrated rubric in
Blackboard. Students can view instructor feedback in the Grade
Center. For more information,
review these instructions.
http://snhu-
media.snhu.edu/files/course_repository/graduate/qso/qso510/qso
15. Meets “Proficient” criteria and
demonstrates insight into
operational processes and
factors that may affect
performance
Identifies quantifiable factors
that may be affecting the
performance of operational
processes and supports claims
with explanations
Identifies quantifiable factors
that may be affecting the
performance of operational
processes but identification is
not supported with explanations
or is cursory
Does not identify quantifiable
factors that may be affecting the
performance of operational
processes
30
Analysis Plan: Problem
Statement
Meets “Proficient” criteria and
statement demonstrates insight
into the relationship between
the quantifiable measures and
problem addressed in the
scenario
16. Develops a problem statement
appropriate to the scenario that
addresses the given problem and
contains quantifiable measures
Develops a problem statement
appropriate to the scenario that
addresses the given problem but
statement does not contain
quantifiable measures or is
cursory or inappropriate
Does not develop a problem
statement appropriate to the
scenario that addresses the given
problem
30
Analysis Plan: Strategy Meets “Proficient” criteria and
strategy demonstrates insight
into how the strategy impacts
additional operations
Proposes a strategy that
addresses the problem of the
company and seeks to improve
sustainable operational
processes
Proposes a strategy but strategy
either does not address the
problem or does not seek to
improve operational processes
17. Does not propose a strategy that
addresses the problem of the
company
10
Articulation of
Response
Submission is free of errors
related to citations, grammar,
spelling, syntax, and organization
and is presented in a
professional and easy to read
format
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact
readability and articulation of
main ideas
Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas
10
Earned Total 100%
18. QSO 510 Final Project Guidelines and Rubric
Overview
The final project for this course is the creation of a statistical
analysis report.
Each day, operations management professionals are faced with
multiple decisions affecting various aspects of the operation.
The ability to use data to drive
decisions is an essential skill that is useful in any facet of an
operation. The dynamic environment offers daily challenges that
require the talents of the operations
manager; working in this field is exciting and rewarding.
Throughout the course, you will be engaged in activities that
charge you with making decisions regarding inventory
management, production capacity, product
profitability, equipment effectiveness, and supply chain
management. These are just a few of the challenges encountered
in the field of operations management.
The final activity in this course will provide you with the
opportunity to demonstrate your ability to apply statistical tools
and methods to solve a problem in a
given scenario that is often encountered by an operations
manager. Once you have outlined your analysis strategy and
19. analyzed your data, you will then report
your data, strategy, and overall decision that addresses the
given problem.
The project is divided into two milestones, which will be
submitted at various points throughout the course to scaffold
learning and ensure quality final
submissions. These milestones will be submitted in Modules
Three and Seven. The final project is due in Module Nine.
In this assignment, you will demonstrate your mastery of the
following course outcomes:
-based strategies in guiding a focused approach for
improving operational processes
atistical methods for informing
valid data-driven decision making in professional settings
-driven decision
making resulting in sustainable operational processes
-driven decision making
for fostering continuous improvement activities
internal and external stakeholders based on relevant data
Prompt
20. Operations management professionals are often relied upon to
make decisions regarding operational processes. Those who
utilize a data-driven, structured
approach have a clear advantage over those offering decisions
based solely on intuition. You will be provided with a scenario
often encountered by an operations
manager. Your task is to review the “A-Cat Corp.: Forecasting”
scenario, the addendum, and the accompanying data in the case
scenario and addendum; outline
the appropriate analysis strategy; select a suitable statistical
tool; and use data analysis to ultimately drive the decision.
Once this has been completed, you will
be challenged to present your data, data analysis strategy, and
overall decision in a concise report, justifying your analysis.
Specifically, the following critical elements must be addressed:
I. Introduction to the problem:
A. Provide a concise description of the scenario that you will be
analyzing. The following questions might help you describe the
scenario: What is
the type of organization identified in the scenario? What is the
organization’s history and problem identified in the scenario?
Who are the key
internal and external stakeholders?
II. Create an analysis plan to guide your analysis and decision
making:
A. Identify any quantifiable factors that may be affecting the
performance of operational processes. Provide a concise
explanation of how these
factors may be affecting the operational processes.
21. B. Develop a problem statement that addresses the given
problem in the scenario and contains quantifiable measures.
C. Propose a strategy that addresses the problem of the
organization in the given case study and seeks to improve
sustainable operational
processes. How will adjustments be identified and made?
III. Identify statistical tools and methods to collect data:
A. Identify the appropriate family of statistical tools that you
will use to perform your analysis. What are your statistical
assumptions concerning
the data that led you to selecting this family of tools? In other
words, why did you select this family of tools for statistical
analysis?
B. Determine the category of the provided data in the given case
study. Be sure to justify why the data fits into this category
type. What is the
relationship between the type of data and the tools?
C. From the identified family of statistical tools, select the most
appropriate tool(s) for analyzing the data provided in the given
case study.
D. Justify why you chose this tool to analyze the data. Be sure
to include how this tool will help predict the use of the data in
driving decisions.
E. Describe the quantitative method that will best inform data-
driven decisions. Be sure to include how this method will point
out the relationships
between the data. How will this method allow for the most
reliable data?
22. IV. Analyze data to determine the appropriate decision for the
identified problem:
A. Outline the process needed to utilize your statistical analysis
to reach a decision regarding the given problem.
B. Explain how following this process leads to valid, data-
driven decisions. In other words, why is following your outlined
process important?
http://snhu-
media.snhu.edu/files/course_repository/graduate/qso/qso510/qso
510_final_project_case_addendum.pdf
C. After analyzing the data sets in the case study, describe the
reliability of the results. Be sure to include how you know
whether the results are
reliable.
D. Illustrate a data-driven decision that addresses the given
problem. How does your decision address the given problem?
How will it result in
operational improvement?
V. Recommend operational improvements to stakeholders:
A. Summarize your analysis plan for both internal and external
stakeholders. Be sure to use audience-appropriate jargon when
summarizing for
both groups of stakeholders.
B. Explain how your decision addresses the given problem and
how you reached that decision. Be sure to use audience-
appropriate jargon for both
groups of stakeholders.
23. C. Justify why your decision is the best option for addressing
the given problem to both internal and external stakeholders and
how it will result in
operational improvement. Be sure to use audience-appropriate
jargon when communicating with stakeholders.
Milestones
Milestone One: Introduction and Analysis Plan
In Module Three, you will submit your introduction and
analysis plan, which are critical elements I and II. You will
submit a 3- to 4-page paper that describes the
scenario provided in the case study, identifies quantifiable
factors that may affect operational performance, develops a
problem statement, and proposes a
strategy for resolving a company’s problem. This milestone will
be graded with the Module One Rubric.
Milestone Two: Statistical Tools and Data Analysis
In Module Seven, you will submit your selection of statistical
tools and data analysis, which are critical elements III and IV.
You will submit a 3- to 4-page paper
and a spreadsheet that provides justification of the appropriate
statistical tools that are needed to analyze the company’s data, a
hypothesis, the results of your
analysis, any inferences from your hypothesis test, and a
forecasting model that addresses the company’s problem. This
milestone will be graded with the
Module Two Rubric.
Final Project Submission: Statistical Analysis Report
In Module Nine, you will submit your statistical analysis report
and recommendations to management. It should be a complete,
polished artifact containing all
of the critical elements of the final product. It should reflect the
24. incorporation of feedback gained throughout the course. This
submission will be graded with the
Final Project Rubric.
Final Project Rubric
Guidelines for Submission: Your statistical analysis report must
be 10–12 pages in length (plus a cover page and references) and
must be written in APA format.
Use double spacing, 12-point Times New Roman font, and one-
inch margins. Include at least six references cited in APA
format.
Instructor Feedback: This activity uses an integrated rubric in
Blackboard. Students can view instructor feedback in the Grade
Center. For more information,
review these instructions.
Critical Elements Exemplary Proficient Needs Improvement
Not Evident Value
Introduction:
Description of the
Scenario
Meets “Proficient” criteria and
description demonstrates
insightful understanding of the
situation described in the
scenario (100%)
25. Concisely and accurately
describes the scenario (90%)
Describes the scenario but
description is not concise or
contains inaccuracies (70%)
Does not describe the scenario
(0%)
4.05
Analysis Plan:
Quantifiable Factors
Meets “Proficient” criteria and
demonstrates insight into
operational processes and factors
that may affect performance
(100%)
Identifies quantifiable factors
that may be affecting the
performance of operational
processes and supports claims
with explanations (90%)
Identifies quantifiable factors
that may be affecting the
performance of operational
processes but identification is not
supported with explanations or is
cursory (70%)
Does not identify quantifiable
26. factors that may be affecting the
performance of operational
processes (0%)
6.13
Analysis Plan: Problem
Statement
Meets “Proficient” criteria and
statement demonstrates insight
into the relationship between the
quantifiable measures and
problem addressed in the
scenario (100%)
Develops a problem statement
appropriate to the scenario that
addresses the given problem and
contains quantifiable measures
(90%)
Develops a problem statement
appropriate to the scenario that
addresses the given problem but
statement does not contain
quantifiable measures or is
cursory or inappropriate (70%)
Does not develop a problem
statement appropriate to the
scenario that addresses the given
problem (0%)
6.13
27. Analysis Plan: Strategy
Meets “Proficient” criteria and
strategy demonstrates insight
into how the strategy impacts
additional operations (100%)
Proposes a strategy that
addresses the problem of the
company and seeks to improve
sustainable operational processes
(90%)
Proposes a strategy but strategy
either does not address the
problem or does not seek to
improve operational processes
(70%)
Does not propose a strategy that
addresses the problem of the
company (0%)
6.13
Statistical Tools and
Methods: Family of
Statistical Tools
Meets “Proficient” criteria and
identification demonstrates
nuanced understanding of
28. statistical tools (100%)
Identifies the appropriate family
of statistical tools used to
perform statistical analysis,
including statistical assumptions
(90%)
Identifies a statistical family of
tools used to perform statistical
analysis but either the tools are
not the most appropriate to use
or discussion lacks statistical
assumptions (70%)
Does not determine a family of
statistical tools (0%)
6.13
http://snhu-
media.snhu.edu/files/production_documentation/formatting/rubr
ic_feedback_instructions_student.pdf
Statistical Tools and
Methods: Category of
Provided Data
Meets “Proficient” criteria and
demonstrates insight into the
relationship of categorical data
and statistical tools (100%)
29. Determines the category of the
provided data, including
justification to support claims
(90%)
Determines the category of the
provided data but category is
either inaccurate or discussion
lacks justification to support
claims (70%)
Does not determine a category
for the data (0%)
6.13
Statistical Tools and
Methods: Most
Appropriate Tool
Selects the most appropriate
statistical tool used to analyze the
data (100%)
Selects a statistical tool but
selection is not the most
appropriate given the data (70%)
Does not select a tool to be used
for analysis (0%)
6.13
30. Statistical Tools and
Methods: Justify Tool
Meets “Proficient” criteria and
justification demonstrates insight
into the relationship between
statistical tools and the type of
data (100%)
Justifies why the tool chosen is
the most appropriate for analysis
of this data (90%)
Justifies why the tool chosen is
the most appropriate for the
analysis but justification is either
illogical or cursory (70%)
Does not justify why a particular
tool was chosen (0%)
6.13
Statistical Tools and
Methods: Quantitative
Method
Meets “Proficient” criteria and
description demonstrates insight
into the relationship between the
quantitative method and data
relationships (100%)
31. Describes the quantitative
method that will best inform the
decision, including how this
method will point out the
relationships between the data
(90%)
Describes the quantitative
method but either the method
selected will not result in the
most reliable data or discussion
lacks how the method will point
out the relationships between
the data (70%)
Does not describe the
quantitative method (0%)
6.13
Analyze Data: Process
Meets “Proficient” criteria and
offers great detail for each
identified step (100%)
Outlines the process needed to
utilize the statistical analysis
(90%)
Outlines the process needed to
utilize the statistical analysis but
steps are either inappropriate or
overgeneralized (70%)
32. Does not outline the process
needed to utilize the statistical
analysis (0%)
6.13
Analyze Data: Valid,
Data-Driven Decisions
Meets “Proficient” criteria and
explanation demonstrates a
nuanced understanding of how
following a process will lead to a
valid decision(100%)
Explains how following the
outlined process leads to a valid
data-driven decision (90%)
Explains how following the
outlined process leads to a valid
decision but explanation is
inappropriate or cursory (70%)
Does not offer an explanation
why following the outlined
process leads to a valid decision
(0%)
6.13
Analyze Data:
Reliability of Results
33. Meets “Proficient” criteria and
description demonstrates keen
insight into identifying reliable
data (100%)
Describes the reliability of the
results based on data sets,
including a justification to
support claims (90%)
Describes the reliability of the
results but description is either
cursory or lacks justification to
support claims (70%)
Does not describe the reliability
of the results (0%)
6.13
Analyze Data: Data-
Driven Decision
Meets “Proficient” criteria and
illustration demonstrates a deep
understanding of the interplay
between a problem, the
operation, and operational
improvement (100%)
Illustrates a data-driven decision
that addresses the problem and
operational improvement (90%)
Illustrates a data-driven decision
34. that addresses the problem but
illustration is either inappropriate
or overgeneralized (70%)
Does not illustrate a decision that
addresses the problem (0%)
6.13
Recommend
Operational
Improvements:
Analysis Plan
Meets “Proficient” criteria and
summary demonstrates keen
insight into appropriately
communicating an analysis plan
to stakeholders (100%)
Summarizes analysis plan for
internal and external
stakeholders using audience-
appropriate jargon (90%)
Summarizes analysis plan for
internal and external
stakeholders but summary either
inappropriately uses jargon or is
cursory (70%)
35. Does not summarize the analysis
plan for stakeholders (0%)
6.13
Recommend
Operational
Improvements:
Decision
Meets “Proficient” criteria and
explanation demonstrates keen
insight into appropriately
communicating a decision and
how it was reached to
stakeholders (100%)
Explains the decision for the
problem and how that decision
was reached, using audience-
appropriate jargon (90%)
Explains the decision for the
problem but explanation either
lacks how the decision was
reached or uses inappropriate
jargon (70%)
Does not explain decision for the
problem (0%)
6.13
Recommend
36. Operational
Improvements:
Best Option
Meets “Proficient” criteria and
justification demonstrates keen
insight as to why the decision is
valid and why it is the optimal
solution, using audience-
appropriate jargon (100%)
Justifies why the decision is the
best option for addressing the
problem and how it will result in
operational improvement, using
audience-appropriate jargon
(90%)
Justifies why the decision is the
best option but justification lacks
how it will result in operational
improvement, is cursory, or uses
inappropriate jargon (70%)
Does not justify to stakeholders
that the decision is the best
option (0%)
6.13
Articulation of
Response
37. Submission is free of errors
related to citations, grammar,
spelling, syntax, and organization
and is presented in a professional
and easy to read format (100%)
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
(90%)
Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact readability
and articulation of main ideas
(70%)
Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas (0%)
4
Earned Total 100%
QSO 510 Final Project Case Addendum
38. Vice-president Arun Mittra speculates:
We have always estimated how many transformers will be
needed to meet demand. The usual method
is to look at the sales figures of the last two to three months and
also the sales figures of the last two
years in the same month. Next make a guess as to how many
transformers will be needed. Either we
have too many transformers in stock, or there are times when
there are not enough to meet our normal
production levels. It is a classic case of both understocking and
overstocking.
Ratnaparkhi, operations head, has been given two charges by
Mittra. First, to develop an analysis of the
data and present a report with recommendations. Second, “to
come up with a report that even a lower
grade clerk in stores should be able to fathom and follow.”
In an effort to develop a report that is understood by all,
Ratnaparkhi decides to provide incremental
amounts of information to his operations manager, who is
assigned the task of developing the complete
analyses.
A-Cat Corporation is committed to the pursuit of a robust
statistical process control (quality control)
program to monitor the quality of its transformers. Ratnaparkhi,
aware that the construction of quality
control charts depends on means and ranges, provides the
following descriptive statistics for 2006 (from
Exhibit 1).
2006
39. Mean 801.1667
Standard Error 24.18766
Median 793
Mode 708
Standard
Deviation 83.78851
Sample Variance 7020.515
Kurtosis -1.62662
Skewness 0.122258
Range 221
Minimum 695
Maximum 916
Sum 9614
Count 12
The operations manager is assigned the task of developing
descriptive statistics for the remaining years,
2007–2010, that are to be submitted to the quality control
department.
A-Cat’s president asks Mittra, his vice-president of operations,
to provide the sales department with an
estimate of the mean number of transformers that are required
40. to produce voltage regulators. Mittra,
recalling the product data from 2006, which was the last year he
supervised the production line,
speculates that the mean number of transformers that are needed
is less than 745 transformers. His
analysis reveals the following:
t = 2.32
p = .9798
This suggests that the mean number of transformers needed is
not less than 745 but at least 745
transformers. Given that Mittra uses older (2006) data, his
operations manager knows that he
substantially underestimates current transformers requirements.
She believes that the mean number of
transformers required exceeds 1000 transformers and decides to
test this using the most recent (2010)
data.
Initially, the operations manager possessed only data for years
2006 to 2008. However, she strongly
believes that the mean number of transformers needed to
produce voltage regulators has increased
over the three-year period. She performs a one-way analysis of
variance (ANOVA) analysis that follows:
2006 2007 2008
42. 2008 12 11884 990.3333 21117.88
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 214772.2 2 107386.1 6.870739 0.003202
3.284918
Within Groups 515773 33 15629.48
Total 730545.2 35
The results (F = 6.871 and p = 0.003202) suggest that indeed
the mean number of transformers has
changed over the period 2006–2008. Mittra has now provided
her with the remaining two years of data
(2009 and 2010) and would like to know if the mean number of
transformers required has changed over
the period 2006–2010.
Finally, the operations manager is tasked with developing a
model for forecasting transformer
requirements based on sales of refrigerators. The table below
summarizes sales of refrigerators and
transformer requirements by quarter for the period 2006–2010,
43. which are extracted from Exhibits 2 and
1 respectively.
Sales of Refrigerators Transformer Requirements
3832 2399
5032 2688
3947 2319
3291 2208
4007 2455
5903 3184
4274 2802
3692 2343
4826 2675
6492 3477
4765 2918
4972 2814
5411 2874
7678 3774
5774 3247
44. 6007 3107
6290 2776
8332 3571
6107 3354
6729 3513
Running Head: Introduction and Quantitative Analysis Plan
1
Introduction and Quantitative Analysis Plan
6
Introduction and Quantitative Analysis Plan
Robert Shulzinsky:
SNHU:
Quanitative Analysis:
July 6 2017
Introduction
A cat company is a technological company which deals with
gadgets that vary with the level of technology and more
especially products that need consistent quality research to
improve their quality. These type of products gives a greater
demand for the company to have a quality control mechanism
that will help develop the quality of the company products. The
45. riskiest stand such an organization can do to ignore the quality
enhancement aspect of the products. Moreover, the management
system of the company depends on the information that is a
given from the operation l functional area of the firm such as
sales, production and research departments. The sensitive part
of this type of an organization relies on improving its products
and ensuring that the products are not wasted, they meet the
demand in the market and above all, they are of customer
quality specifications.
Moreover, the organization deals with the different level of
workers with a different understanding. Any form of decision
making information should be prepared in a simple way that is
easily understood to enhance understanding between different
parties that will use the information. For instance, the demand
for the generators produced by the company varies with the
season. For the last few years, the demand for the refrigerators
and transformers of the company has consistently increased.
The increasing trend provides a viable forecasting solution of
the future demand for its products. Therefore, this organization
will consider seasonal demand, past increasing trend, the period
in a year and the consistency of increase in its operations as
provided in the historical data of the company.
Analysis plan
A. Quantifiable Factors
1. Sales
Sales level of the company is different in different periods of
the month. The company can record its sales demand; it can
give the record of every sale done by the company which will
give the basis to determine the likely current sales and also the
future sales of the company. Future forecasting of the company
sales will depend on the past data of how the company has been
46. selling its products in the market. The operation process result
is to produce a quality product that will be sold. If the operation
process of the company is not efficient, the number of products
that are produced will reduce which will result to reduced level
of sales since will be no products to sell
2. Demand
The demand involves the requirement level of the company
products. The company transformer demand as outlined was 745
requirements, and for the last few years, the requirement is
expected to increase up to 1000. This future forecasting is
intuitive based on simple observation. Tom establish the exact
value of the increase of decrease of the company requirement, t
will need the calculation of the trend of increase in
consideration of the aspects that entail seasonal changes and
quality standards. The demand calls for the urgency and needs
for the operation process. The demand is the reason for the sales
of the company and hence influences the sales. Also, demand
can be of the product.
3. Quality requirements
The quality system of the company goes a measure that
determines the quality standards of the company product. This
can be quantified through outlining all the aspects that consist
of a quality product. The product will be evaluated and
quantified in an expressed percentage of the level of quality
standards that it has. Through such, the management can be able
to understand that the product has met the requirement as
provided by the quality levels set by the management. The
essence of fighting to have an effective process is to enhance
the quality of products. A production process is developed to
meet all the quality requirement, and hence there will be no
production method if the quality is not considered.
47. B. Problem Statement.
Operation prerequisite of the organization needs monitoring to
keep the quality standards of the product. There is also needed
requirement of the process to enhance the production of the
product required. Likewise, it is needed a forecast of the
number of products that should be produced in the future. If the
company struggles to keep the quality of the products,
establishing satisfaction on the requirement side will be
difficult. And also, if the process is enhanced with the
associated risk, what is the future sales in the market? The
worry is whether the production will continue to increase in the
future and also whether there demand of the products in the
market will be quenched.
C. Strategy to Address the Problem
Three aspects are involved in the whole processes of the
company. One of the aspects is the season fluctuation in demand
of the company products. The monthly indifferences indicate
these in the sales of the company. Another aspect is meeting the
future demand through enhancing quality and establishing
quality control system. What the company should do it to
analyze the historical data by also considering any permit
changes that the company has made and their influence on the
production. Select a method for analysis which in this case will
involve every aspect of concern in the case. The best method to
use which will utilize the past data for future prediction
includes time series and trend analysis.
References
Chang, J. F. (2016). Business process management systems:
strategy and implementation. CRC
Press.
Pierce, W. C., & Sawyer, D. T. (2013). Quantitative analysis.
48. John Wiley And Sons, Inc;
London; Toppon Company, Ltd; Japan.