This document contains 3 sets of questions for the MAT 510 Final Exam. Each set contains 25 multiple choice questions covering topics related to statistical process improvement, statistical thinking strategies, control charts, design of experiments, and regression analysis. Students are instructed to visit a website for additional course materials.
MAT 510 Exceptional Education - snaptutorial.comDavisMurphyB11
This document contains questions from three sets of a final exam for MAT 510. It includes 25 questions in each set covering topics like statistical thinking, process improvement frameworks, control charts, regression analysis, experimental design, and statistical analyses. The questions are multiple choice and assess understanding of key concepts and principles from the course material.
Mat 510 Believe Possibilities / snaptutorial.comDavis29a
This document contains a 3-part final exam for the course MAT 510, with 100 multiple choice questions total across the 3 sets. It provides the questions for Sets 1, 2, and 3 of the exam, covering topics like statistical thinking principles, process improvement frameworks, variation, control charts, and data analysis. The document also advertises a website for additional classes.
Mat 510 Enhance teaching / snaptutorial.comBaileya19
This document contains three sets of questions for the MAT 510 Final Exam. Each set contains 25 multiple choice questions covering topics in statistics, statistical process control, design of experiments, and statistical modeling. The questions assess understanding of concepts like variation, process capability, control charts, regression analysis, and experimental design.
MAT 510 Effective Communication - tutorialrank.comBartholomew46
For more course tutorials visit
www.tutorialrank.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
For more course tutorials visit
www.newtonhelp.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The Statistical Thinking Strategy has significant commonality with the scientific method. Which of the following statistical thinking principles is NOT generally associated with the scientific method?
Question 3
MAT 510 Exceptional Education - snaptutorial.comDavisMurphyB11
This document contains questions from three sets of a final exam for MAT 510. It includes 25 questions in each set covering topics like statistical thinking, process improvement frameworks, control charts, regression analysis, experimental design, and statistical analyses. The questions are multiple choice and assess understanding of key concepts and principles from the course material.
Mat 510 Believe Possibilities / snaptutorial.comDavis29a
This document contains a 3-part final exam for the course MAT 510, with 100 multiple choice questions total across the 3 sets. It provides the questions for Sets 1, 2, and 3 of the exam, covering topics like statistical thinking principles, process improvement frameworks, variation, control charts, and data analysis. The document also advertises a website for additional classes.
Mat 510 Enhance teaching / snaptutorial.comBaileya19
This document contains three sets of questions for the MAT 510 Final Exam. Each set contains 25 multiple choice questions covering topics in statistics, statistical process control, design of experiments, and statistical modeling. The questions assess understanding of concepts like variation, process capability, control charts, regression analysis, and experimental design.
MAT 510 Effective Communication - tutorialrank.comBartholomew46
For more course tutorials visit
www.tutorialrank.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
For more course tutorials visit
www.newtonhelp.com
MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The Statistical Thinking Strategy has significant commonality with the scientific method. Which of the following statistical thinking principles is NOT generally associated with the scientific method?
Question 3
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The document discusses a research project investigating the impact of a HRIS (Human Resource Information System) on the core HR activities of ABC Company. It includes an introduction identifying problems with the new HRIS implementation. The objectives are to analyze and monitor employee attendance for management decision making. The methodology section outlines hypotheses testing the relationships between the HRIS and variables like employee details, performance appraisal, and employee attendance. Data collection involved questionnaires and secondary sources. Analysis found the HRIS positively impacts core HR when technology and processes are well-managed. Recommendations include differentiating HR activities and managing resources. Areas for future research include studying the HRIS impact on all HR activities and considering additional impact factors.
This document discusses causal inference techniques for machine learning, including:
- Correlation does not imply causation, and observational data can be biased by confounding variables. Randomization and counterfactual modeling are introduced as alternatives.
- Inverse propensity scoring is presented as a method for estimating treatment effects from observational data by reweighting samples based on their propensity to receive treatment.
- Instrumental variable regression is discussed as another technique, using variables that influence the treatment but not the outcome except through treatment. Scalable methods for instrumental variable regression on large datasets are proposed.
- Challenges with weak instruments are noted, as instrumental variable estimates can become more biased than purely correlational models when instruments are weak
The document discusses best practices for visualizing analytics results. It emphasizes that visualization is critical for effectively communicating insights from data analysis. Good visualizations exploit the human visual system by presenting information simply and clearly. Practitioners should understand their data and audience to develop visualizations that tell the right story. Iterative experimentation is important to arrive at visualizations that provide global understanding from the data. Overall the document stresses that visualization is a key part of deriving meaningful insights from analytics work.
Yusuke Goto (iwate Pref. Univ.) and Shingo Takahashi (Waseda Univ.)
How Scenario Analysis Can Contribute to ABMS Validation
The 7th International Workshop on Agent-based Approaches in Economic and Social Complex Systems
January 17, 2012 (Osaka, Japan)
Two measures of presenteeism - a direct question about hours lost and a 26-item scale - were administered to 128 patients. Factor analysis identified two correlated factors: productivity/quantity of work and psychosocial/quality of work. The direct hours question loaded highly on the productivity factor while the 26-item scale cross-loaded on both factors. Further analysis is needed to confirm the factor structure and determine how to translate presenteeism measures into monetary costs.
Statistics Assignment Help from the Statistics Assignment Experts. Statistics assignment help is the most common assignment that students are mostly demand for. Statistics is the branch of mathematics, comprises the collection, summarizing, analysis, interpretation, and presentation of data.
I am Joshua M. I am a Statistics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, USA
I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Statistics Assignments.
Unit I (8 Hrs)
Introduction to Linear Programming – Various definitions, Statements of basic
theorems and properties, Advantages Limitations and Application areas of Linear
Programming, Linear Programming -Graphical method, - graphical solution
methods of Linear Programming problems, The Simplex Method: -the Simplex
Algorithm, Phase II in simplex method, Primal and Dual Simplex Method, Big-M
Method
Unit II (8 Hrs)
Transportation Model and its variants: Definition of the Transportation Model
-Nontraditional Transportation Models-the Transportation Algorithm-the Assignment
Model– The Transshipment Model
Unit III (8 Hrs)
Network Models: Basic differences between CPM and PERT, Arrow Networks,
Time estimates, earliest completion time, Latest allowable occurrences time,
Forward Press Computation, Backward Press Computation, Representation in
tabular form, Critical Path, Probability of meeting the scheduled date of completion,
Various floats for activities, Critical Path updating projects, Operation time cost trade
off Curve project,
Selection of schedule based on :- Cost analysis, Crashing the network
Sequential model & related problems, processing n jobs through – 1 machine & 2
machines
Unit IV (8 Hrs)
Network Models: Scope of Network Applications – Network definitions, Goal
Programming Algorithms, Minimum Spanning Tree Algorithm, Shortest Route
Problem, Maximal flow model, Minimum cost capacitated flow problem
Unit V (8 Hrs)
Decision Analysis: Decision - Making under certainty - Decision - Making under
Risk, Decision
under uncertainty.
Unit VI (8 Hrs)
Simulation Modeling: Monte Carlo Simulation, Generation of Random Numbers,
Method for
Gathering Statistical observations
This document provides instruction on using the 1 variance test for hypothesis testing. It begins with an overview of why hypothesis testing is needed to build a transfer function model. It then reviews the 4-step process for hypothesis testing and provides a decision tree to help select the appropriate statistical test based on data type and characteristics. The document demonstrates how to perform a 1 variance test using Minitab through examples comparing standard deviation to a target value. It concludes by prompting the reader to apply the 1 variance test to factors identified in a previous lesson and consider how the results could influence organizational decisions and goals.
Python and the Holy Grail of Causal Inference - Dennis Ramondt, Huib KeeminkPyData
The document discusses various challenges and methods for causal inference from observational data. It begins with two use cases - estimating the savings from installing heat pumps and the profit increase from placing beer coolers in stores. Both experiments fail standard assumptions as the test and control groups are statistically different. The document then covers methods for estimating average treatment effects such as propensity score matching and regression adjustment. It also discusses estimating individual treatment effects using techniques like honest forests and counterfactual regression that learn balanced representations of the data. The goal is to remove bias from differences between treated and untreated groups to infer valid causal effects.
Statistics is all about facts and ratio, well it is a lot more than that and understanding every bit of it requires right statistics assignment help from some expert sources. We at helpmeinhomework are one such homework helping source providing adequate help whenever necessary.
This study aims to identify critical factors for creating and maintaining long-term relationships between manufacturers and retailers in Bangladesh. A survey of 205 smartphone retailers found that retailers' long-term orientation towards manufacturers is most significantly influenced by manufacturers' attitudes, retailers' trust in manufacturers, retailers' dependence on manufacturers, and current economic outcomes from the relationship. Regression and ANOVA analyses confirm that these four factors together have a strong statistically significant relationship with retailers' long-term orientation. However, the study is limited by its modest sample size and focus on a single industry.
This document provides an agenda and summaries of various statistical tests and analyses performed on call volume and customer satisfaction survey data. It includes:
1. A t-test and z-test finding no statistically significant difference between forecasted and actual daily call volumes.
2. A chi-square test finding a significant relationship between customer satisfaction survey results and whether calls originated from phone or email.
3. An individuals control chart finding two holidays caused unusually low call volumes but otherwise volumes were generally stable with no trends or patterns.
4. A binary logistic regression modeling customer satisfaction as predicted by ticket age, source, status reason, and resolution method, finding ticket age and status reason were significant predictors.
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This document provides a list of 25 questions that appear to be from a final exam for the MAT 510 statistics course. It includes questions about statistical concepts like control charts, regression analysis, experimental design, hypothesis testing, and intervals. The document also provides links to resources for accessing tutorials and more exam questions on the topic.
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mat 510,stayer mat 510,stayer mat 510 complete course,stayer mat 510 entire course,stayer mat 510 week 1,stayer mat 510 week 2,stayer mat 510 week 3,stayer mat 510 week 4,stayer mat 510 week 6,stayer mat 510 week 7,stayer mat 510 week 8,stayer mat 510 week 9,mat 510 final exam new,mat 510 midterm exam new,mat 510 tutorials,mat 510 assignments,mat 510 help
mat 510,stayer mat 510,stayer mat 510 complete course,stayer mat 510 entire course,stayer mat 510 week 1,stayer mat 510 week 2,stayer mat 510 week 3,stayer mat 510 week 4,stayer mat 510 week 6,stayer mat 510 week 7,stayer mat 510 week 8,stayer mat 510 week 9,mat 510 final exam new,mat 510 midterm exam new,mat 510 tutorials,mat 510 assignments,mat 510 help
mat 510,stayer mat 510,stayer mat 510 complete course,stayer mat 510 entire course,stayer mat 510 week 1,stayer mat 510 week 2,stayer mat 510 week 3,stayer mat 510 week 4,stayer mat 510 week 6,stayer mat 510 week 7,stayer mat 510 week 8,stayer mat 510 week 9,mat 510 final exam new,mat 510 midterm exam new,mat 510 tutorials,mat 510 assignments,mat 510 help
mat 300,strayer mat 300,mat 300 entire course new,mat 300 discussion questions,strayer mat 300 week 1,strayer mat 300 week 2,strayer mat 300 week 3,strayer mat 300 week 4,strayer mat 300 week 5,mat 300 case study,mat 300 discussion correlation and regression,mat 300 graphical representations,strayer mat 300 tutorials,strayer mat 300 assignments,mat 300 help
mat 510,stayer mat 510,stayer mat 510 complete course,stayer mat 510 entire course,stayer mat 510 week 1,stayer mat 510 week 2,stayer mat 510 week 3,stayer mat 510 week 4,stayer mat 510 week 6,stayer mat 510 week 7,stayer mat 510 week 8,stayer mat 510 week 9,mat 510 final exam new,mat 510 midterm exam new,mat 510 tutorials,mat 510 assignments,mat 510 help
The document discusses a research project investigating the impact of a HRIS (Human Resource Information System) on the core HR activities of ABC Company. It includes an introduction identifying problems with the new HRIS implementation. The objectives are to analyze and monitor employee attendance for management decision making. The methodology section outlines hypotheses testing the relationships between the HRIS and variables like employee details, performance appraisal, and employee attendance. Data collection involved questionnaires and secondary sources. Analysis found the HRIS positively impacts core HR when technology and processes are well-managed. Recommendations include differentiating HR activities and managing resources. Areas for future research include studying the HRIS impact on all HR activities and considering additional impact factors.
This document discusses causal inference techniques for machine learning, including:
- Correlation does not imply causation, and observational data can be biased by confounding variables. Randomization and counterfactual modeling are introduced as alternatives.
- Inverse propensity scoring is presented as a method for estimating treatment effects from observational data by reweighting samples based on their propensity to receive treatment.
- Instrumental variable regression is discussed as another technique, using variables that influence the treatment but not the outcome except through treatment. Scalable methods for instrumental variable regression on large datasets are proposed.
- Challenges with weak instruments are noted, as instrumental variable estimates can become more biased than purely correlational models when instruments are weak
The document discusses best practices for visualizing analytics results. It emphasizes that visualization is critical for effectively communicating insights from data analysis. Good visualizations exploit the human visual system by presenting information simply and clearly. Practitioners should understand their data and audience to develop visualizations that tell the right story. Iterative experimentation is important to arrive at visualizations that provide global understanding from the data. Overall the document stresses that visualization is a key part of deriving meaningful insights from analytics work.
Yusuke Goto (iwate Pref. Univ.) and Shingo Takahashi (Waseda Univ.)
How Scenario Analysis Can Contribute to ABMS Validation
The 7th International Workshop on Agent-based Approaches in Economic and Social Complex Systems
January 17, 2012 (Osaka, Japan)
Two measures of presenteeism - a direct question about hours lost and a 26-item scale - were administered to 128 patients. Factor analysis identified two correlated factors: productivity/quantity of work and psychosocial/quality of work. The direct hours question loaded highly on the productivity factor while the 26-item scale cross-loaded on both factors. Further analysis is needed to confirm the factor structure and determine how to translate presenteeism measures into monetary costs.
Statistics Assignment Help from the Statistics Assignment Experts. Statistics assignment help is the most common assignment that students are mostly demand for. Statistics is the branch of mathematics, comprises the collection, summarizing, analysis, interpretation, and presentation of data.
I am Joshua M. I am a Statistics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, USA
I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Statistics Assignments.
Unit I (8 Hrs)
Introduction to Linear Programming – Various definitions, Statements of basic
theorems and properties, Advantages Limitations and Application areas of Linear
Programming, Linear Programming -Graphical method, - graphical solution
methods of Linear Programming problems, The Simplex Method: -the Simplex
Algorithm, Phase II in simplex method, Primal and Dual Simplex Method, Big-M
Method
Unit II (8 Hrs)
Transportation Model and its variants: Definition of the Transportation Model
-Nontraditional Transportation Models-the Transportation Algorithm-the Assignment
Model– The Transshipment Model
Unit III (8 Hrs)
Network Models: Basic differences between CPM and PERT, Arrow Networks,
Time estimates, earliest completion time, Latest allowable occurrences time,
Forward Press Computation, Backward Press Computation, Representation in
tabular form, Critical Path, Probability of meeting the scheduled date of completion,
Various floats for activities, Critical Path updating projects, Operation time cost trade
off Curve project,
Selection of schedule based on :- Cost analysis, Crashing the network
Sequential model & related problems, processing n jobs through – 1 machine & 2
machines
Unit IV (8 Hrs)
Network Models: Scope of Network Applications – Network definitions, Goal
Programming Algorithms, Minimum Spanning Tree Algorithm, Shortest Route
Problem, Maximal flow model, Minimum cost capacitated flow problem
Unit V (8 Hrs)
Decision Analysis: Decision - Making under certainty - Decision - Making under
Risk, Decision
under uncertainty.
Unit VI (8 Hrs)
Simulation Modeling: Monte Carlo Simulation, Generation of Random Numbers,
Method for
Gathering Statistical observations
This document provides instruction on using the 1 variance test for hypothesis testing. It begins with an overview of why hypothesis testing is needed to build a transfer function model. It then reviews the 4-step process for hypothesis testing and provides a decision tree to help select the appropriate statistical test based on data type and characteristics. The document demonstrates how to perform a 1 variance test using Minitab through examples comparing standard deviation to a target value. It concludes by prompting the reader to apply the 1 variance test to factors identified in a previous lesson and consider how the results could influence organizational decisions and goals.
Python and the Holy Grail of Causal Inference - Dennis Ramondt, Huib KeeminkPyData
The document discusses various challenges and methods for causal inference from observational data. It begins with two use cases - estimating the savings from installing heat pumps and the profit increase from placing beer coolers in stores. Both experiments fail standard assumptions as the test and control groups are statistically different. The document then covers methods for estimating average treatment effects such as propensity score matching and regression adjustment. It also discusses estimating individual treatment effects using techniques like honest forests and counterfactual regression that learn balanced representations of the data. The goal is to remove bias from differences between treated and untreated groups to infer valid causal effects.
Statistics is all about facts and ratio, well it is a lot more than that and understanding every bit of it requires right statistics assignment help from some expert sources. We at helpmeinhomework are one such homework helping source providing adequate help whenever necessary.
This study aims to identify critical factors for creating and maintaining long-term relationships between manufacturers and retailers in Bangladesh. A survey of 205 smartphone retailers found that retailers' long-term orientation towards manufacturers is most significantly influenced by manufacturers' attitudes, retailers' trust in manufacturers, retailers' dependence on manufacturers, and current economic outcomes from the relationship. Regression and ANOVA analyses confirm that these four factors together have a strong statistically significant relationship with retailers' long-term orientation. However, the study is limited by its modest sample size and focus on a single industry.
This document provides an agenda and summaries of various statistical tests and analyses performed on call volume and customer satisfaction survey data. It includes:
1. A t-test and z-test finding no statistically significant difference between forecasted and actual daily call volumes.
2. A chi-square test finding a significant relationship between customer satisfaction survey results and whether calls originated from phone or email.
3. An individuals control chart finding two holidays caused unusually low call volumes but otherwise volumes were generally stable with no trends or patterns.
4. A binary logistic regression modeling customer satisfaction as predicted by ticket age, source, status reason, and resolution method, finding ticket age and status reason were significant predictors.
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This document provides a list of 25 questions that appear to be from a final exam for the MAT 510 statistics course. It includes questions about statistical concepts like control charts, regression analysis, experimental design, hypothesis testing, and intervals. The document also provides links to resources for accessing tutorials and more exam questions on the topic.
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mat 510,stayer mat 510,stayer mat 510 complete course,stayer mat 510 entire course,stayer mat 510 week 1,stayer mat 510 week 2,stayer mat 510 week 3,stayer mat 510 week 4,stayer mat 510 week 6,stayer mat 510 week 7,stayer mat 510 week 8,stayer mat 510 week 9,mat 510 final exam new,mat 510 midterm exam new,mat 510 tutorials,mat 510 assignments,mat 510 help
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A BASELINE IS THE PROJECT'S SCOPE FIXED AT A SPECIFIC POINT IN TIME.SophiaMorgans
The document discusses key project management concepts like baselines, scope, stakeholders, organizational structure, project selection, scheduling, and controls. It provides examples of true/false and multiple choice questions related to these topics. The questions cover defining a baseline and scope, characteristics of a project vs process, types of organizational structures, factors in project selection, direct vs indirect costs, and types of control systems. Effective project teams require open communication, clear goals, participation, and a positive attitude. The partnership between a project manager and team needs exchange of purpose, right to say no, joint accountability, and honesty.
1. What type of research uses numeric measurement data (Points .docxpaynetawnya
1. What type of research uses numeric measurement data? (Points : 3)
2. What type of research uses a research hypothesis? (Points : 3)
3. What type of research does not use statistical data analysis? (Points : 3)
4. What type of research preempts all other types of research endeavors? (Points : 3)
5. Business research is a type of ________________ inquiry. (Points : 3)
6. What are the three main types of non-probability sampling used in business research? (Points : 3)
7. In a situation where in a confidence level .01 what percent of the measurement results are left to chance? (Points : 3)
8. What is the most important ingredient in a statistical testing procedure? (Points : 3)
9. If a production manager wanted to determine whether or not the first shift was processing more widgets than the second shift, what type of statistical process would be used? (Points : 3)
10. What type of t test seeks to determine whether or not a relationship exists in one sample over two conditions? _______________ (Points : 3)
11. Which of the examples below represent the Ratio level of scaling?
A) A high temperature of 83 degrees Fahrenheit
B) A survey result that 24 students work full time, 36, part time.
C) Bill is consistently rated most effective communicator of his group.
D) Gallup says that 60% of the voters support the incumbent.
E) Pick up three pounds of ground beef please.
F) Patty acts as expected based on her first-born family position.
G) Seattle at an altitude of 67 feet is higher than Death Valley at an altitude of – 120.
H) The door is 37 inches wide, the door frame is 36 inches wide.
(Points : 3)
B, C and F
D, E and G
C, F and H
A, E and H
12. Select those issues that only relate to selecting a specific statistical test. (Do not select items common to all tests or not applying to statistical tests.) (Points : 3)
The distribution (shape) of the population (e.g., normal, skewed, flat, etc.)
The measurement scale/nature of the data being evaluated (nominal, ordinal, interval or ratio)
The size of the population (assuming it is much larger than any samples)
The level of significance (_) you wish to place on the test results
Whether you have matched/related or unmatched/unrelated samples
The degrees of freedom (sample size) associated with your sample(s)
The statement of the null and research hypotheses
Whether the sample was stratified or not
13. Which of the following apply to Populations?
A) parameter
B) “Roman” letters, i.e.: x, s
C) A bounded, defined complete group (people, objects, etc.) having something in common to be described in its totality
D) “Greek” letters, i.e.: μ, σ
E) One or more subsets of a larger defined group, used to represent the larger group
F) 170 Republicans selected randomly from King County voter records
G) All Democrats in the state of Washington (totality)
(Points : 3)
A, B ...
1. What type of research uses numeric measurement data (Points .docxjackiewalcutt
1. What type of research uses numeric measurement data? (Points : 3)
2. What type of research uses a research hypothesis? (Points : 3)
3. What type of research does not use statistical data analysis? (Points : 3)
4. What type of research preempts all other types of research endeavors? (Points : 3)
5. Business research is a type of ________________ inquiry. (Points : 3)
6. What are the three main types of non-probability sampling used in business research? (Points : 3)
7. In a situation where in a confidence level .01 what percent of the measurement results are left to chance? (Points : 3)
8. What is the most important ingredient in a statistical testing procedure? (Points : 3)
9. If a production manager wanted to determine whether or not the first shift was processing more widgets than the second shift, what type of statistical process would be used? (Points : 3)
10. What type of t test seeks to determine whether or not a relationship exists in one sample over two conditions? _______________ (Points : 3)
11.
Which of the examples below represent the Ratio level of scaling?
A) A high temperature of 83 degrees Fahrenheit
B) A survey result that 24 students work full time, 36, part time.
C) Bill is consistently rated most effective communicator of his group.
D) Gallup says that 60% of the voters support the incumbent.
E) Pick up three pounds of ground beef please.
F) Patty acts as expected based on her first-born family position.
G) Seattle at an altitude of 67 feet is higher than Death Valley at an altitude of – 120.
H) The door is 37 inches wide, the door frame is 36 inches wide.
(Points : 3)
B, C and F
D, E and G
C, F and H
A, E and H
12. Select those issues that only relate to selecting a specific statistical test. (Do not select items common to all tests or not applying to statistical tests.) (Points : 3)
The distribution (shape) of the population (e.g., normal, skewed, flat, etc.)
The measurement scale/nature of the data being evaluated (nominal, ordinal, interval or ratio)
The size of the population (assuming it is much larger than any samples)
The level of significance (_) you wish to place on the test results
Whether you have matched/related or unmatched/unrelated samples
The degrees of freedom (sample size) associated with your sample(s)
The statement of the null and research hypotheses
Whether the sample was stratified or not
13.
Which of the following apply to Populations?
A) parameter
B) “Roman” letters, i.e.: x, s
C) A bounded, defined complete group (people, objects, etc.) having something in common to be described in its totality
D) “Greek” letters, i.e.: μ, σ
E) One or more subsets of a larger defined group, used to represent the larger group
F) 170 Republicans selected randomly from King County voter records
G) All Democrats in the state of Washington (totality)
(Points : 3)
A, B, ...
RES 351 Massive Success / snaptutorial.com351McdonaldRyan0
Differentiate between the scientific method and applied research. Which one is most often used in business? Provide an example of either that might be appropriate from your current or previous place of employment. You are the manager of a hotel. There have been several complaints from guests relating to employee attitude. Provide a description of three different types of research that might be appropriate for this situation.
Measuring effectiveness of machine learning systemsAmit Sharma
Many online systems, such as recommender systems or ad systems, are increasingly being used in societally critical domains such as education, healthcare, finance and governance. A natural question to ask is about their effectiveness, which is often measured using observational metrics. However, these metrics hide cause-and-effect processes between these systems, people's behavior and outcomes. I will present a causal framework that allows us to tackle questions about the effects of algorithmic systems and demonstrate its usage through evaluation of Amazon's recommender system and a major search engine. I will also discuss how such evaluations can lead to metrics for designing better systems.
For more course tutorials visit
www.hca375.com
You can check the details of All quizzes under individual Products
HCA 375 Week 1 DQ 1 CQI Process
HCA 375 Week 1 DQ 2 Promoting CQI Efforts
Leveraging Gap Analysis for Continuous ImprovementCIToolkit
Gap analysis compares two different states of something, the current state and the future state. It is mainly used to assess where a company or process is today, where it needs to be in the future, and what needed to be there. Gap analysis is also known as need analysis or need assessment.
Leveraging Gap Analysis for Continuous ImprovementCIToolkit
Gap analysis compares two different states of something, the current state and the future state. It is mainly used to assess where a company or process is today, where it needs to be in the future, and what needed to be there. Gap analysis is also known as need analysis or need assessment.
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A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
MAT 510 RANK Education Planning--mat510rank.com
1. MAT 510 Final Exam (3 Set, 100% Score)
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MAT 510 Final Exam Set 1
Question 1
Improvement is needed for an organization to survive because:
Question 2
The Statistical Thinking Strategy has significant commonality
with the scientific method. Which of the following statistical thinking
principles is NOT generally associated with the scientific method?
Question 3
Viewing a business as a system is important because:
2. Question 4
Improving the quality of process measurements is:
Question 5
Suppose the Problem Solving Framework were used to attack a
problem where the process in question was inherently stable. Which of
the following would be a likely result of this effort?
Question 6
The histogram below showing ages of credit card holders
displays what type of distribution?
Question 7
A main purpose of a control chart is to:
3. Question 8
The histogram has which of the following limitations?
Question 9
Non-random and unpredictable patterns on a control chart
indicate:
Question 10
A comparison between the Cp and Cpk for a process would find
which of the following to be true?
Question 11
A statistic that is used to indicate too much correlation between
the predictors in a regression analysis is called the:
4. Question 12
An Adjusted R-square value is a correlation coefficient that has
been modified to account for:
Question 13
Tips for building useful models include:
Question 14
The model residuals are examined to:
Question 15
Results of regression analysis are often abused in the following
ways:
Question 16
The basic reason for randomness of sampling in design of
experiments is:
5. Question 17
In every experiment there is experimental error. Which of the
following statements is true?
Question 18
An aspect of good experimental strategy is to study the effects of
the variables
(Xs) over a wide range. This strategy increases the chances that effects
will be found because:
Question 19
This technique is used to eliminate the effects of nuisance factors
(e.g., machines, day of week, and season of year) from an experiment.
Question 20
A 32 experiment means that we are experimenting with:
6. Question 21
We ran a taste-test to see which soft drink employees in our
company prefer. We had 100 employees, selected as randomly as
possible, taste test two brands and determine which they preferred.
Which of the following would be a reasonable statistical analysis to
determine if there is a clear preference among our employees?
Question 22
We are testing the null hypothesis that the average monthly
revenue between four insurance offices is the same. We obtained a p-
value of .07. Which of the following would be an appropriate conclusion
about the population?
Question 23
For which of the following scenarios am I most likely to utilize a
Chi-squared test?
Question 24
Which of the following could be considered a prediction
interval?
7. Question 25
I have made a mistake in copying data into my computer to
perform a large regression model with 20 independent variables.
Basically, I ended up with random data in each of the columns.
However, I accidentally ran the regression anyway. Making reasonable
assumptions, which of the following outcomes is most likely?
MAT 510 Final Exam Set 2
• Question 1
In every experiment there is experimental error. Which of the
following statements is true?
• Question 2
8. This technique is used to eliminate the effects of nuisance factors
(e.g., machines, day of week, and season of year) from an experiment.
• Question 3
An aspect of good experimental strategy is to study the effects of
the variables
(Xs) over a wide range. This strategy increases the chances that effects
will be found because:
• Question 4
A 32 experiment means that we are experimenting with:
• Question 5
Given the plot below, what might you suspect about factors A
and B?
• Question 6
9. Which type of variation was critical to resolving the realized
revenue case study?
• Question 7
Figure 2.15 displays a model of the statistics discipline, showing
the relationship between statistical thinking, statistical engineering, and
statistical methods and tools. Which of the following is a principle
illustrated by this model?
• Question 8
The model residuals are examined to:
• Question 9
A statistic that is used to indicate too much correlation between
the predictors in a regression analysis is called the:
• Question 10
10. The best way to evaluate the validity of a statistical model is:
• Question 11
George Box tells us ―all models are wrong but some are useful‖.
By this comment he means:
• Question 12
Models based on subject matter fundamentals (theory) are
generally better than statistical models for:
• Question 13
We are testing the null hypothesis that the average monthly
revenue between four insurance offices is the same. We obtained a p-
value of .07. Which of the following would be an appropriate conclusion
about the population?
• Question 14
11. I have calculated an interval to document the uncertainty in my
estimate of the long-term standard deviation I will experience in time to
pay invoices in my business going forward. Baaed on this information,
this should be considered what type of interval?
• Question 15
After running an ANOVA comparing the average years of
experience between five different job classifications, we obtained a p
value of .02. Which of the following would be a reasonable conclusion
concerning the population in this case?
• Question 16
For which of the following scenarios am I most likely to utilize a
Chi-squared test?
• Question 17
Which of the following could be considered a prediction
interval?
12. • Question 18
Improvement is needed for an organization to survive because:
• Question 19
Control limits were originally defined at the three-sigma level
because:
• Question 20
If my histogram appears bimodal, what tool might help me
evaluate why?
• Question 21
In evaluating data on our process outputs, four characteristics we
might investigate are: central tendency, variation, shape of distribution,
and stability. Which of the following tools would be most helpful to
determine stability of the process?
• Question 22
13. The histogram has which of the following limitations?
• Question 23
Non-random and unpredictable patterns on a control chart
indicate:
• Question 24
Refer to Figure 3.21 and choose the correct statement for the
measurements
• Question 25
Processes are important because:
14. MAT 510 Final Exam Set 3
• Question 1
Lean manufacturing, Six Sigma, Total Quality Management are
some of the new systems for managing and improving an organization.
What is a common theme running through these approaches?
• Que
==============================================
MAT 510 Midterm Exam (3 Set, 100% Score)
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MAT 510 Midterm Exam Set 1
15. MAT 510 MIDTERM First Attempt
• Question 1
Improvement is needed for an organization to survive
because:
• Question 2
Why is it so difficult for a person or an organization to
improve?
• Question 3
A SIPOC map is:
• Question 4
16. Lean manufacturing, Six Sigma, Total Quality Management are
some of the new systems for managing and improving an organization.
What is a common theme running through these
approaches?
• Question 5
Problem solving activities typically include:
• Question 6
The fact that processes tend to be dynamic, rather than static, is a
key principle of statistical thinking. Which of the following is a natural
consequence of this fact?
• Question 7
The Statistical Thinking Strategy has significant commonality
with the scientific method. Which of the following statistical thinking
principles is NOT generally associated with the scientific
method?
17. • Question 8
Figure 2.16 shows a chart of the Dow Jones Industrial Average
from 1990 through 2011. This plot reveals some obvious change points,
such as the 2008 financial collapse, and some unexplainable short-term
variation. Assuming that these are the only sources of variation in this
plot, what source of variation is NOT visible in the
plot?
• Question 9
In Figure 2.11, Coach Hau presented data showing where goals
were scored on crosses. This produced unexpected results, in terms of
where the goals came from, and helped his team determine an effective
strategy on free kicks. This is an example of what principle of statistical
thinking?
• Question 10
The Statistical Thinking Strategy illustrated in Figure 2.14
provides a graphic of the overall approach to driving improvement
through statistical thinking. Which of the following is a key principle
illustrated in this specific graph?
18. • Question 11
In the soccer case study, Coach Hau developed a flowchart of the
steps one goes through to properly ―head‖ the ball, and then developed
unique drills to develop the team’s skills in each of these steps. This
approach is an example of what statistical thinking
principle?
• Question 12
A manufacturing process has been experiencing problems. The
operators charting the process data have identified the cause to be due to
an unanticipated change in incoming raw materials. This problem
should be considered:
• Question 13
Process measurements are:
19. • Question 14
Process complexity is important because complex
processes:
• Question 15
Service and non-manufacturing processes:
• Question 16
The Hidden Factory is:
• Question 17
The primary goal of process mapping is to:
• Question 18
20. Service processes are different from manufacturing processes in
that:
• Question 19
Viewing a business as a system is important
because:
• Question 20
Use of subject matter knowledge is a key aspect of the Statistical
Thinking Strategy discussed in Chapter 2. For which of the following
case studies in Chapter 4 was this principle NOT clearly
applied?
• Question 21
Which of the following are valid statements about the DMAIC
framework?
• Question 22
21. We learned in Chapter 3 that the measurement process is always
important and worthy of our attention. However, in Chapter 4 we found
that measurement can be absolutely critical to solving the problem. For
which of the case studies in Chapter 4 was measurement NOT discussed
as a critical issue?
• Question 23
Which of the following are accurate statements about the
relationship between the Process Improvement Framework (PIF) and the
Problem Solving Framework (PSF)?
• Question 24
The frameworks discussed in Chapter 4 could be considered
more specific examples of:
• Question 25
If you are thinking creatively about how to take existing tools
and link and sequence them to develop a novel approach to solve
important problems, this would be an example of:
22. MAT 510 MIDTERM 2ND Attempt
• Question 1
Understanding variation is important because
variation:
• Question 2
A SIPOC map is:
• Question 3
Improvement is needed for an organization to survive
because:
• Question 4
23. Why is it so difficult for a person or an organization to
improve?
• Question 5
W. E. Deming commented ―You don’t have to make these
changes, survival is not mandatory.‖ His message
is:
• Question 6
The fact that processes tend to be dynamic, rather than static, is a
key principle of statistical thinking. Which of the following is a natural
consequence of this fact?
• Question 7
In the advertising case study, the unexpected ―V‖ shaped pattern
in the plot of advertising dollars versus sales indicated
what?
24. • Question 8
Box, Hunter, and Hunter are quoted in this chapter as stating:
―Data have no meaning in themselves; they are meaningful only in
relation to a conceptual model of the phenomenon studied.‖ This critical
point is related to which of the following principles of statistical
thinking?
• Question 9
Analysts have noticed that October tends to be a bad month in
the collections department – our collections on past due accounts tend to
be consistently lower in October. This issue should be
considered:
• Question 10
It is, unfortunately, common in business for managers to demand
an explanation for variation that is, based on statistics, typical and
expected variation, i.e., common cause variation. Alternatively, there
may be obvious special causes in the data that may be shrugged off as
―typical business fluctuations‖. Which of the following statements about
interpretation of variation are true?
25. • Question 11
The Statistical Thinking Strategy illustrated in Figure 2.14
provides a graphic of the overall approach to driving improvement
through statistical thinking. Which of the following is a key principle
illustrated in this specific graph?
• Question 12
In Figure 2.11, Coach Hau presented data showing where goals
were scored on crosses. This produced unexpected results, in terms of
where the goals came from, and helped his team determine an effective
strategy on free kicks. This is an example of what principle of statistical
thinking?
• Question 13
The Hidden Factory is:
• Question 14
26. The primary goal of process mapping is to:
• Question 15
Viewing a business as a system is important
because:
• Question 16
The SIPOC model for a business helps everyone in the company
see the business from an overall perspective by:
I. Keeping a focus on customer needs
II. Identifying inputs and outputs for each step of the process
III. Displaying cross-function activities in simple terms
IV. Helping maintain the big business picture
• Question 17
Process complexity is important because complex
processes:
27. • Question 18
Service processes are different from manufacturing processes in
that:
• Question 19
Processes are important because:
• Question 20
If you are thinking creatively about how to take existing tools
and link and sequence them to develop a novel approach to solve
important problems, this would be an example of:
• Question 21
Which type of variation was critical to resolving the realized
revenue case study?
28. • Question 22
Suppose the Process Improvement Framework were used to
attack a problem where the process in question was inherently unstable.
Which of the following would be a likely result of this
effort?
• Question 23
The frameworks discussed in Chapter 4 could be considered
more specific examples of:
• Question 24
The Problem Solving Framework begins with a ―Document the
Problem‖ phase. The Process Improvement Framework does not begin
this way, but rather begins with an ―Understand the Process phase.‖
Which of the following are valid reasons for this
difference?
29. • Question 25
Which of the following are valid statements about the DMAIC
framework?
MAT 510 Midterm Exam Set 2
• Question 1
W. E. Deming commented ―You don’t have to make these
changes, survival is not mandatory.‖ His message
is:
&a
==============================================
30. MAT 510 Week 1 Homework Assignment 1
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Homework Assignment 1
Due in Week 1 and worth 30 points
Describe a work task, a hobby, or another activity that you regularly do,
and sequentially list the various actions you take in order to complete
this activity. Consider the complexity of your list and the amount of
steps required to complete the activity.
Answer the following questions in the space provided below:
1. Differentiate the main actions between doing and improving your
activities.
2. Determine the overall manner in which variation has affected your
activities.
==============================================
MAT 510 Week 2 Homework Assignment 2
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Homework Assignment 2
Due in Week 2 and worth 30 points
Answer the following questions in the space provided below:
Explain the importance of variation to health-care organizations and
answer the following questions.
1. a. What might be the key processes for health-care
organizations?
2. b. key processes of health-care organizations What are the
potential common causes of variation that would have an impact on the?
3. c. What special causes might be more important than the others?
4. d. How might health-care organizations’ business environment
be dynamic and change over time?
==============================================
MAT 510 Week 3 Homework Assignment 3
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32. Homework Assignment 3
Due in Week 3 and worth 30 points
The following data consists of the actual time used and potential (the
best time possible for this review process) to complete each step in the
review process. The actual times are based on the review of 30 projects.
The potential times are subjective engineering judgment estimates.
Table: Basic Data Review for Construction Project Equipment
Arrangement
Cycle
Time
(hours)
StepDescription ActualPotentialDifference
1
Read basic data
package
4 4 —
2
Write, type, proof,
sign, copy, and
distribute cover
letter
21.9 0.5 21.4
3 Queue 40 0 40
4
Lead engineer
calls key people to
schedule meeting
4 0.25 3.75
5
Write, type, proof,
sign, copy, and
distribute
confirmation letter
25.4 2.1 23.3
6
Hold meeting;
develop path
forward and
concerns
4 4 —
33. 7
Project leader and
specialist develop
missing
information
12 12 —
8
Determine plant
preferred vendors
12 12 —
9
Review notes from
meeting
12 12 —
10
Resolve open
issues
106 104 2
11
Write, type, proof,
sign, copy, and
distribute basic
data acceptance
letter
26.5 0.25 26.25
Totals 267.8 151.1 116.7
Use the data in the table above and answer the following questions in the
space provided below:
1. 1. What are the sources of value-added and non-value-added
work in this process?
2. 2. Where are the main opportunities to improve the cycle time of
this process, with respect to both actual time used and the potential best
times? What strategy would you use?
3. 3. Step 10: Resolve Open Issues required 104 hours (potential)
versus 106 hours (actual). Is there an OFI here? Why or why not? If so,
how would you attack it?
4. 4. What do you think are the most difficult critical issues to deal
with when designing a sound cycle time study such as this one?
Type your answers below and submit this file in Week 3 of the
online course shell:
34. ==============================================
MAT 510 Week 4 Case Study 1 Statistical Thinking in
Health Care (2 Papers)
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This Tutorial contains 2 Papers
Case Study 1: Statistical Thinking in Health Care
Due Week 4 and worth 150 points
Read the following case study.
Ben Davis had just completed an intensive course in Statistical Thinking
for Business Improvement, which was offered to all employees of a
large health maintenance organization. There was no time to celebrate,
however, because he was already under a lot of pressure. Ben works as a
pharmacist's assistant in the HMO's pharmacy, and his manager, Juan de
Pacotilla, was about to be fired. Juan's dismissal appeared to be
imminent due to numerous complaints and even a few lawsuits over
inaccurate prescriptions. Juan now was asking Ben for his assistance in
trying to resolve the problem, preferably yesterday!
35. "Ben, I really need your help! If I can't show some major improvement
or at least a solid plan by next month, I'm history."
"I'll be glad to help, Juan, but what can I do? I'm just a pharmacist's
assistant."
"I don't care what your job title is; I think you're just the person who can
get this done. I realize I've been too far removed from day-to-day
operations in the pharmacy, but you work there every day. You're in a
much better position to find out how to fix the problem. Just tell me
what to do, and I'll do it."
"But what about the statistical consultant you hired to analyze the data
on inaccurate prescriptions?"
"Ben, to be honest, I'm really disappointed with that guy. He has spent
two weeks trying to come up with a new modeling approach to predict
weekly inaccurate prescriptions. I tried to explain to him that I don't
want to predict the mistakes, I want to eliminate them! I don't think I got
through, however, because he said we need a month of additional data to
verify the model, and then he can apply a new method he just read about
in a journal to identify 'change points in the time series,' whatever that
means. But get this, he will only identify the change points and send me
a list; he says it's my job to figure out what they mean and how to
respond. I don't know much about statistics -- the only thing I remember
from my course in college is that it was the worst course I ever took--
but I'm becoming convinced that it actually doesn't have much to offer in
solving real problems. You've just gone through this statistical thinking
course, though, so maybe you can see something I can't. To me,
statistical thinking sounds like an oxymoron. I realize it's a long shot, but
I was hoping you could use this as the project you need to officially
complete the course."
"I see your point, Juan. I felt the same way, too. This course was
interesting, though, because it didn't focus on crunching numbers. I have
some ideas about how we can approach making improvements in
prescription accuracy, and I think this would be a great project. We may
not be able to solve it ourselves, however. As you know, there is a lot of
finger-pointing going on; the pharmacists blame sloppy handwriting and
36. incomplete instructions from doctors for the problem; doctors blame
pharmacy assistants like me who actually do most of the computer entry
of the prescriptions, claiming that we are incompetent; and the assistants
tend to blame the pharmacists for assuming too much about our
knowledge of medical terminology, brand names, known drug
interactions, and so on."
"It sounds like there's no hope, Ben!"
"I wouldn't say that at all, Juan. It's just that there may be no quick fix
we can do by ourselves in the pharmacy. Let me explain how I'm
thinking about this and how I would propose attacking the problem
using what I just learned in the statistical thinking course."
Source: G. C. Britz, D. W. Emerling, L. B. Hare, R. W. Hoerl, & J. E.
Shade. "How to Teach Others to Apply Statistical Thinking." Quality
Progress (June 1997): 67--80.
Assuming the role of Ben Davis, write a three to four (3-4) page paper in
which you apply the approach discussed in the textbook to this problem.
You'll have to make some assumptions about the processes used by the
HMO pharmacy. Also, please use the Internet and / or Strayer LRC to
research articles on common problems or errors that pharmacies face.
Your paper should address the following points:
1.Develop a process map about the prescription filling process for
HMO's pharmacy, in which you specify the key problems that the
HMO's pharmacy might be experiencing. Next, use the supplier, input,
process steps, output, and customer (SIPOC) model to analyze the HMO
pharmacy's business process.
2.Analyze the process map and SIPOC model to identify possible main
root causes of the problems. Next, categorize whether the main root
causes of the problem are special causes or common causes. Provide a
rationale for your response.
3.Suggest the main tools that you would use and the data that you would
37. collect in order to analyze the business process and correct the problem.
Justify your response.
4.Propose one (1) solution to the HMO pharmacy's on-going problem(s)
and propose one (1) strategy to measure the aforementioned solution.
Provide a rationale for your response.
5.Use at least two (2) quality references. Note: Wikipedia and other
Websites do not qualify as academic resources.
Your assignment must follow these formatting requirements:
•Be typed, double spaced, using Times New Roman font (size 12), with
one-inch margins on all sides; citations and references must follow APA
format. Check with your professor for any additional instructions.
•Include a cover page containing the title of the assignment, the student's
name, the professor's name, the course title, and the date. The cover page
and the reference page are not included in the required assignment page
length.
The specific course learning outcomes associated with this assignment
are:
•Describe how organizations use statistical thinking to be more
competitive.
•Apply the basic principles of statistical thinking to business processes.
•Apply the SIPOC model to identify OFIs in business processes.
•Use technology and information resources to research issues in business
process improvement.
•Write clearly and concisely about business process improvement using
proper writing mechanics.
==============================================
MAT 510 Week 4 Homework Assignment 4
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Homework Assignment 4
Due in Week 4 and worth 30 points
Discuss one (1) project where you used a problem-solving approach to
address what turned out to be common-cause variation, or where you
used a process improvement approach to deal with a special cause.
If you do not have a personal experience that echoes either of these
situations, you may use Internet to search for a case that reflects either of
these situations.
Examples:
· one’s personal investment strategy since 2008
· reducing waiting times at the local hospital or emergency room
· reducing difficulties trying to connect to a Wi-Fi Internet
provider
Answer the following questions in the space provided below:
1. 1. Describe the experience in the project.
2. 2. What were the solutions used to address the problem?
3. 3. Was the case you described a special-cause or common-
cause?
39. 4. 4. Do you feel the solution or approach used appropriate for the
cause?
5. 5. What would you do if you could do it again?
6. 6. What conclusions can you draw from the problem-solving or
process-improvement techniques?
Note: You may create and / or make all necessary assumptions needed
for the completion of this assignment. In your original work, you may
use aspects of existing processes from either your current or a former
place of employment. However, you must remove any and all
identifying information that would enable someone to discern the
organization(s) that you have used.
==============================================
MAT 510 Week 6 Homework Assignment 5
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Homework Assignment 5
Due in Week 6 and worth 30 points
The data in below table lists country code and the order to remittance
(OTR) time for hardware / software installations for the last 76
installations (from first to last). OTR is the time it takes from an order
40. being placed until the system is installed and we receive payment
(remittance). Because this company does business internationally, it also
notes the country of installation using a country code. This code is listed
in the first column.
Use the date in table above and answer the following questions in the
space provided below:
1. Does the OTR time appear to be stable? Why or why not?
2. If you were to use a control chart to evaluate stability, which chart
would you use? Why?
3. What can you learn about the distribution of the installation
process?
4. Does it appear that the country has an impact on installation time?
Why or why not?
==============================================
MAT 510 Week 6 Homework Assignment 6
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Due in Week 8 and worth 30 points
The experiment data in below table was to evaluate the effects of three
variables on invoice errors for a company. Invoice errors had been a
major contributor to lengthening the time that customers took to pay
41. their invoices and increasing the accounts receivables for a major
chemical company. It was conjectured that the errors might be due to the
size of the customer (larger customers have more complex orders), the
customer location (foreign orders are more complicated), and the type of
product. A subset of the data is summarized in the following Table.
Table: Invoice Experiment Error Customer Size Customer Location
Product Type Number of Errors - - - 15 + - -
18 - + - 6 + + - 2 - - + 19 +
- + 23 - + + 16 + + + 21 Customer
Size: Small (-), Large (+) Customer Location: Foreign (-), Domestic (+)
Product Type: Commodity (-), Specialty (=)
Reference: Moen, Nolan, and Provost (R. D. Moen, T. W. Nolan and L.
P. Provost. Improving Quality through Planned Experimentation. New
York: McGraw-Hill, 1991)
Use the date in table above and answer the following questions in the
space provided below:
1. 1. What was the average effect of the process change? Did the
process average increase or decrease and by how much?
2. 2. Analyze the data using the regression model y = b0 + b1x,
where y = time to approve and mail a claim (weekly average), x = 0 for
the old process, and x = 1 for the new process.
3. 3. How does this model measure the effect of the process
change?
4. 4. How much did the process performance change on the
average? (Hint: Compare the values of b1 and the average of new
42. process performance minus the average of the performance of the old
process.)
==============================================
MAT 510 Week 7 Homework Assignment 6
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Homework Assignment 6
Due in Week 7 and worth 30 points
The data in the table below is from a study conducted by an insurance
company to determine the effect of changing the process by which
insurance claims are approved. The goal was to improve policyholder
satisfaction by speeding up the process and eliminating some non-value-
added approval steps in the process. The response measured was the
average time required to approve and mail all claims initiated in a week.
The new procedure was tested for 12 weeks, and the results were
compared to the process performance for the 12 weeks prior to
instituting the change.
Table: Insurance Claim Approval Times (days)
Old New
43. Process Process
Week
Elapsed
Time Week
Elapsed
Time
1 31.7 13 24
2 27 14 25.8
3 33.8 15 31
4 30 16 23.5
5 32.5 17 28.5
6 33.5 18 25.6
7 38.2 19 28.7
8 37.5 20 27.4
9 29 21 28.5
10 31.3 22 25.2
11 38.6 23 24.5
12 39.3 24 23.5
Use the date in table above and answer the following questions in the
space provided below:
1. What was the average effect of the process change? Did the
process average increase or decrease and by how much?
2. Analyze the data using the regression model y = b0 + b1x,
where y = time to approve and mail a claim (weekly average), x = 0 for
the old process, and x = 1 for the new process.
3. How does this model measure the effect of the process change?
4. How much did the process performance change on the average?
(Hint: Compare the values of b1 and the average of new process
performance minus the average of the performance of the old process.)
44. ==============================================
MAT 510 Week 8 Case Study 2 Improving E-Mail
Marketing Response (2 Papers)
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This Tutorial contains 2 Papers
Case Study 2: Improving E-Mail Marketing Response
Due Week 8 and worth 160 points
Read the following case study.
Students, please view the "Submit a Clickable Rubric Assignment" in
the Student Center.
Instructors, training on how to grade is within the Instructor Center.
A company wishes to improve its e-mail marketing process, as measured
by an increase in the response rate to e-mail advertisements. The
company has decided to study the process by evaluating all
combinations of two (2) options of the three (3) key factors: E-Mail
Heading (Detailed, Generic); Email Open (No, Yes); and E-Mail Body
(Text, HTML). Each of the combinations in the design was repeated on
two (2) different occasions. The factors studied and the measured
response rates are summarized in the following table.
45. Write a two to three (2-3) page paper in which you:
1. Use the data shown in the table to conduct a design of experiment
(DOE) in order to test cause-and-effect relationships in business
processes for the company.
2. Determine the graphical display tool (e.g., Interaction Effects
Chart, Scatter Chart, etc.) that you would use to present the results of the
DOE that you conducted in Question 1. Provide a rationale for your
response.
3. Recommend the main actions that the company could take in order
to increase the response rate of its e-mail advertising. Provide a rationale
for your response.
4. Propose one (1) overall strategy for developing a process model for
this company that will increase the response rate of its e-mail advertising
and obtain effective business process. Provide a rationale for your
response.
Your assignment must follow these formatting requirements:
· Be typed, double spaced, using Times New Roman font (size 12),
with one-inch margins on all sides; citations and references must follow
APA or school-specific format. Check with your professor for any
additional instructions.
· Include a cover page containing the title of the assignment, the
student’s name, the professor’s name, the course title, and the date. The
cover page and the reference page are not included in the required
assignment page length.
The specific course learning outcomes associated with this assignment
are:
· Build regression models for improving business processes.
46. · Design experiments to test cause-and-effect relationships in
business processes.
· Use technology and information resources to research issues in
business process improvement.
· Write clearly and concisely about business process improvement
using proper writing mechanics.
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MAT 510 Week 8 Homework Assignment 7
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Homework Assignment 7
Due in Week 8 and worth 30 points
The experiment data in below table was to evaluate the effects of three
variables on invoice errors for a company. Invoice errors had been a
major contributor to lengthening the time that customers took to pay
their invoices and increasing the accounts receivables for a major
chemical company. It was conjectured that the errors might be due to the
size of the customer (larger customers have more complex orders), the
customer location (foreign orders are more complicated), and the type of
product. A subset of the data is summarized in the following Table.
47. Reference: Moen, Nolan, and Provost (R. D. Moen, T. W. Nolan and L.
P. Provost. Improving Quality through Planned Experimentation. New
York: McGraw-Hill, 1991)
Use the date in table above and answer the following questions in the
space provided below:
1. What is the nature of the effects of the factors studied in this
experiment?
2. What strategy would you use to reduce invoice errors, given the
results of this experiment?
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MAT 510 Week 9 Homework Assignment 8
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Homework Assignment 8
Due in Week 9 and worth 30 points
Suppose the number of equipment sales and service contracts that a store
sold during the last six (6) months for treadmills and exercise bikes was
as follows:
Treadmill Exercise Bike
Total sold 185 123
Service contracts 67 55
The store can only sell a service contract on a new piece of equipment.
48. Of the 185 treadmills sold, 67 included a service contract and 118 did
not.
Complete the following questions in the space provided below:
1. Construct a 95 percent confidence interval for the difference
between the proportions of service contracts sold on treadmills versus
exercise bikes.
2. Is there a major difference between the two pieces of equipment?
Why or why not?
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MAT 510 Week 10 Homework Assignment 9
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Homework Assignment 9
Due in week 10 and worth 30 points
Suppose that there are two (2) candidates (i.e., Jones and Johns) in the
upcoming presidential election. Sara notes that she has discussed the
presidential election candidates with 15 friends, and 10 said that they are
voting for candidate Jones. Sara is therefore convinced that candidate
Jones will win the election because Jones gets more than 50% of votes.
49. Answer the following questions in the space provided below:
1. 1. Based on what you now know about statistical inference, is
Sara’s conclusion a logical conclusion? Why or why not?
2. 2. How many friend samples Sara should have in order to draw
the conclusion with 95% confidence interval? Why?
3. 3. How would you explain your conclusion to Sara without using
any statistical jargon? Why?
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