This document provides a template for a student to complete a statistical analysis project involving descriptive statistics, hypothesis testing, and regression analysis. The template outlines the content and statistical analyses to be performed on two variables - sales and calls - including descriptive statistics, hypothesis tests, correlation, regression equation, and estimates. The student is instructed to input their results, analyses, and conclusions into the template for their assignment submission.
BUSI 620Questions for Critical Thinking 3Salvatore’s Chapter.docxhumphrieskalyn
BUSI 620
Questions for Critical Thinking 3
Salvatore’s Chapter 6:
a. Discussion Questions: 1, 7, and 15.
b. Problems: 7 and appendix problems 1 and 3 (pp. 256–257).
Note:
1. Revised P7: Just construct the diffusion index from month 2 to 3. In this problem, we have three leading indicators. The diffusion index from month 1 to 2 is 66.7 (=2/3) because two indicators move up and move down (see p. 236).
2. Appendix problem 1: Delete “Eliminating the data for 2000.” You need to calculate the moving average forecasts and RMSEs for year 2000, not the whole data period.
3. Appendix problem 3: Compare RMSEs for moving average and exponential forecasts to answer “Is this a better forecast than the moving average” (see also p. 234)? Use 166.63, the mean of all 36 months, as the initial forecast for Jan. 1998 for both exponential smoothing forecasts.
Salvatore’s Chapter 7:
a. Discussion Questions: 3, 11, and 12.
b. Problems: 4, 12, and 13.
Note:
1. P4: Ms. Smith should hire workers as long as their marginal revenue product (MRP) exceeds their marginal resource cost (MRC) and until MRP=MRC.
MRP=MR x MP = P x MP = $10 x MP (use information in the problem to calculate MP). MRC=wages=$40.
2. P12(a): Calculate Q when L=1and K=1, and L=2 and K=2. Then compare and answer the question about the returns to scale.
3. P12(b): Given K=1, show the change in Q if L changes from 1 to 2 and 2 to 3. Answer the question about diminishing returns.
4. P13(a): See figure (7-4) on page 276.
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91 ...
U3 IP.sav
MKTG420_U3IP.doc
Unit 3 Individual Project 1
MACROBUTTON DoFieldClick Type your Name Here
American Intercontinental University
MACROBUTTON DoFieldClick Type your Paper Title
Project Type: MKTG420 Unit 3 Individual Project
MACROBUTTON DoFieldClick Date of Submission
Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
MACROBUTTON DoFieldClick Type your Paper Title
Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font.
Part 1: Research background on the scales
Introduce the concept and be sure to indent the first line of the paragraph. Provide background on each of the 4 scales (assurance, empathy, reliability and responsiveness), not limited to a simple definition but as a measurement that aids marketers. Discuss how the questions in the survey are transformed into "scales" (also called "factors"). In other studies using SERVQUAL, how many and what types of respondents were included? Part 1 of the Individual Project should be 1 page in length. Be sure to cite your resources.
Part 1: Concept of Scales/Factors
Introduce the concept and be sure to indent the first line of the paragraph.
Part 1: SERVQUAL Samples
Introduce the concept and be sure to indent the first line of the paragraph.
Part 2: (Full-Text Research) Service Quality and Segmentation
Introduce the concept and be sure to indent the first line of the paragraph. Connect information from at least 3 articles. Do not write and overview or critique of the articles. Synthesize and connect the information contained to develop a solid understanding of how service quality and segmentation are related. Part 2 of the Individual Project should be 2 pages in length and should be predominately from at least three articles in AIU's full-text databases. Be sure to cite your resources.
Part 3: Null/Hypo 1, ANOVA, Decision
Attached is a small set of data that has been collected from brand loyal customers of Store 1 and Store 2. Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 2, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis ...
BUSI 620Questions for Critical Thinking 3Salvatore’s Chapter.docxhumphrieskalyn
BUSI 620
Questions for Critical Thinking 3
Salvatore’s Chapter 6:
a. Discussion Questions: 1, 7, and 15.
b. Problems: 7 and appendix problems 1 and 3 (pp. 256–257).
Note:
1. Revised P7: Just construct the diffusion index from month 2 to 3. In this problem, we have three leading indicators. The diffusion index from month 1 to 2 is 66.7 (=2/3) because two indicators move up and move down (see p. 236).
2. Appendix problem 1: Delete “Eliminating the data for 2000.” You need to calculate the moving average forecasts and RMSEs for year 2000, not the whole data period.
3. Appendix problem 3: Compare RMSEs for moving average and exponential forecasts to answer “Is this a better forecast than the moving average” (see also p. 234)? Use 166.63, the mean of all 36 months, as the initial forecast for Jan. 1998 for both exponential smoothing forecasts.
Salvatore’s Chapter 7:
a. Discussion Questions: 3, 11, and 12.
b. Problems: 4, 12, and 13.
Note:
1. P4: Ms. Smith should hire workers as long as their marginal revenue product (MRP) exceeds their marginal resource cost (MRC) and until MRP=MRC.
MRP=MR x MP = P x MP = $10 x MP (use information in the problem to calculate MP). MRC=wages=$40.
2. P12(a): Calculate Q when L=1and K=1, and L=2 and K=2. Then compare and answer the question about the returns to scale.
3. P12(b): Given K=1, show the change in Q if L changes from 1 to 2 and 2 to 3. Answer the question about diminishing returns.
4. P13(a): See figure (7-4) on page 276.
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91 ...
U3 IP.sav
MKTG420_U3IP.doc
Unit 3 Individual Project 1
MACROBUTTON DoFieldClick Type your Name Here
American Intercontinental University
MACROBUTTON DoFieldClick Type your Paper Title
Project Type: MKTG420 Unit 3 Individual Project
MACROBUTTON DoFieldClick Date of Submission
Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
MACROBUTTON DoFieldClick Type your Paper Title
Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font.
Part 1: Research background on the scales
Introduce the concept and be sure to indent the first line of the paragraph. Provide background on each of the 4 scales (assurance, empathy, reliability and responsiveness), not limited to a simple definition but as a measurement that aids marketers. Discuss how the questions in the survey are transformed into "scales" (also called "factors"). In other studies using SERVQUAL, how many and what types of respondents were included? Part 1 of the Individual Project should be 1 page in length. Be sure to cite your resources.
Part 1: Concept of Scales/Factors
Introduce the concept and be sure to indent the first line of the paragraph.
Part 1: SERVQUAL Samples
Introduce the concept and be sure to indent the first line of the paragraph.
Part 2: (Full-Text Research) Service Quality and Segmentation
Introduce the concept and be sure to indent the first line of the paragraph. Connect information from at least 3 articles. Do not write and overview or critique of the articles. Synthesize and connect the information contained to develop a solid understanding of how service quality and segmentation are related. Part 2 of the Individual Project should be 2 pages in length and should be predominately from at least three articles in AIU's full-text databases. Be sure to cite your resources.
Part 3: Null/Hypo 1, ANOVA, Decision
Attached is a small set of data that has been collected from brand loyal customers of Store 1 and Store 2. Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 2, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis ...
Chi-square tests are great to show if distributions differ or i.docxMARRY7
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: ...
Final Exam Due Friday, Week EightInstructions Each response is.docxmydrynan
Final Exam Due Friday, Week Eight
Instructions: Each response is worth a maximum of 50 points. Number and state the question. Space and then give your response. Each response will be a minimum 175 and maximum 225 words. Utilize the book, at least one resource beyond the course book and your personal examples in each response. This means that beyond the course text you should have a minimum of 4 references for this midterm exam. Create appropriate headings/subheading for each response and then give your detailed answer to the question.
Use Word doc. or docx only. Times New Roman, 12 font and double-space everything. Include a cover page and reference page. Return exam via email attachment NLT. Follow APA 6th ed. formatting requirements.
NO LATE EXAMS WILL BE ACCEPTED!
1. In determining rates of pay, how are the decisions made as to who gets paid $7.00 per hour and who will receive $1 million for a years work?
2. How can team effort result in improved organizational profitability?
3. What is reverse discrimination and how does it influence the design of an executive compensation plan?
4. With benefits consuming approximately 40 percent of the compensation dollar of most organizations, among many managers the “fringe benefit” concept still exists. Develop a detailed outline of the various components of a typically benefits program, indicating their importance and scope. Develop the outline so that it can be used for a presentation. (This response length may vary, so ensure you meet the requirements as stated.)
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.87 ...
DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.The column labels in the table mean:ID – Employee sample number Salary – Salary in thousands Age – Age in yearsPerformance Rating - Appraisal rating (employee evaluation score)Service – Years of service (rounded)Gender – 0 = male, 1 = female Midpoint – salary grade midpoint Raise – percent of last raiseGrade – job/pay gradeDegree (0= BS\BA 1 = MS)Gender1 (Male or Female)Compa - salary divided by midpoint
Week 1Week 1.Measurement and Description - chapters 1 and 2The goal this week is to gain an understanding of our data set - what kind of data we are looking at, some descriptive measurse, and a look at how the data is distributed (shape).1Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: overall sample, Females, and Males.You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =stdev functions. (the range must be found using the difference between the =max and =min functions with Fx) functions.Note: Place data to the right, if you use Descriptive statistics, place that to the right as well.Some of the values are completed for you - please finish the table.SalaryCompaAgePerf. Rat.ServiceOverallMean35.785.99.0Standard Deviation8.251311.41475.7177Note - data is a sample from the larger company populationRange304521FemaleMean32.584.27.9Standard Deviation6.913.64.9Range26.045.018.0MaleMean38.987.610.0Standard Deviation8.48.76.4Range28.030.021.03What is the probability for a:Probabilitya. Randomly selected person being a male in grade E?b. Randomly selected male being in grade E? Note part b is the same as given a male, what is probabilty of being in grade E?c. Why are the results different?4A key issue in comparing data sets is to see if they are distributed/shaped the same. We can do this by looking at some measures of wheresome selected values are within each data set - that .
IN ORDER TO IMPLEMENT A SET OF RULES / TUTORIALOUTLET DOT COMjorge0050
Solve each trigonometric equation in the interval [0,2n) by first squaring both sides. fleas x=1+sin x Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A- The solution set is .
(Simplify your answer. Use a comma to separate answers as needed. Type an exact answer, using 1: as needed. Use integers or fractions for any numbers in the expression.) 0 B. There is no solution on this interval.
MARKETING MANAGEMENT PHILOSOPHIES
CHAPTER 1 - ASSIGNMENT
Question 1.
Considering the differences of the philosophies, in some cases slight differences, select a company (product or service) and describe the current philosophy they pose for the customer. Include in your comments the level of customer value delivered by the company’s actions.
In other words, measure the company’s interaction with their customers against the Market Concept Philosophy. Does the company operate under the Market Concept Philosophy or do they lean more toward one of the other Philosophies.
Be specific with your examples.
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variabl ...
TEST #1Perform the following two-tailed hypothesis test, using a.docxmattinsonjanel
TEST #1
Perform the following two-tailed hypothesis test, using a .05 significance level:
· Intrinsic by Gender
· State the null and an alternate statement for the test
· Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test. Copy and paste the results of the output to your report in Microsoft Word.
· Identify the significance level, the test statistic, and the critical value.
· State whether you are rejecting or failing to reject the null hypothesis statement.
· Explain how the results could be used by the manager of the company.
TEST #2
Perform the following two-tailed hypothesis test, using a .05 significance level:
· Extrinsic variable by Position Type
· State the null and an alternate statement for the test
· Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test.
· Copy and paste the results of the output to your report in Microsoft Word.
· Identify the significance level, the test statistic, and the critical value.
· State whether you are rejecting or failing to reject the null hypothesis statement.
· Explain how the results could be used by the manager of the company.
GENERAL ANALYSIS (Research Required)
Using your textbook or other appropriate college-level resources:
· Explain when to use a t-test and when to use a z-test. Explore the differences.
· Discuss why samples are used instead of populations.
The report should be well written and should flow well with no grammatical errors. It should include proper citation in APA formatting in both the in-text and reference pages and include a title page, be double-spaced, and in Times New Roman, 12-point font. APA formatting is necessary to ensure academic honesty.
Be sure to provide references in APA format for any resource you may use to support your answers.
Making Inferences
When data are collected, various summary statistics and graphs can be used for describing data; however, learning about what the data mean is where the power of statistics starts. For example, is there really a difference between two leading cola products? Hypothesis testing is an example of making these types of inferences on data sets.
Hypothesis Tests
Claims are made all the time, such as a particular light bulb will last a certain number of hours.
Claims like this are tested with hypothesis testing. It is a straight forward procedure that consists of the following steps:
1. A claim is made.
2. A value for probability of significance is chosen.
3. Data are collected.
4. The test is performed.
5. The results are analyzed.
Hypothesis tests are performed on the mean of the population. µ
It is not possible to test the full population. For example, it would be impossible to test every light bulb. Instead, the hypothesis test is performed on a sample of the population.
Setting up a Hypothesis Test
When performing hypothesis testing, the test is setup with a null hypothesis (or claim) and the alternative hypothesis. ...
Ashford 4: - Week 3 - Discussion 1
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
ANOVA
In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on why you agree or disagree with the statistical test that your peers have described as appropriate in this scenario.
Ashford 4: - Week 3 - Discussion 2
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
Effect Size
Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?
Ashford 4: - Week 3 - Assignment
Problem Set Week Three
Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
All statistical calculations will use the Employee Salary Data Set and the Week 3 assignment sheet.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
See comments at the right of the data set.
ID
Salary
Compa
Midpoint
Age
Performance Rating
Service
Gender
Raise
Degree
Gender1
Grade
8
23
1.000
23
32
90
9
1
5.8
0
F
A
The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)?
10
22
0.956
23
30
80
7
1
4.7
0
F
A
Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.
11
23
1.000
23
41
100
19
1
4.8
0
F
A
14
24
1.043
23
32
90
12
1
6
0
F
A
The column labels in the table mean:
15
24
1.043
23
32
80
8
1
4.9
0
F
A
ID – Employee sample number
Salary – Salary in thousands
23
23
1.000
23
36
65
6
1
3.3
1
F
A
Age – Age in years
Performance Rating – Appraisal rating (Employee evaluation score)
26
24
1.043
23
22
95
2
1
6.2
1
F
A
Service – Years of service (rounded)
Gender: ...
ScoreWeek 4Confidence Intervals and Chi Square (Chs .docxpotmanandrea
Score:
Week 4
Confidence Intervals and Chi Square (Chs 11 - 12)
For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions.
For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed.
<1 point>
1
Using our sample data, construct a 95% confidence interval for the population's mean salary for each gender.
Interpret the results. How do they compare with the findings in the week 2 one sample t-test outcomes (Question 1)?
Mean
St error
t value
Low
to
High
Males
Females
Interpretation:
<1 point>
2
Using our sample data, construct a 95% confidence interval for the mean salary difference between the genders in the population.
How does this compare to the findings in week 2, question 2?
Difference
St Err.
T value
Low
to
High
Yes/No
Can the means be equal?
Why?
How does this compare to the week 2, question 2 result (2 sampe t-test)?
a.
Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-sample techniques when comparing two samples?
<1 point>
3
We found last week that the degree values within the population do not impact compa rates.
This does not mean that degrees are distributed evenly across the grades and genders.
Do males and females have athe same distribution of degrees by grade?
(Note: while technically the sample size might not be large enough to perform this test, ignore this limitation for this exercise.)
What are the hypothesis statements:
Ho:
Ha:
Note: You can either use the Excel Chi-related functions or do the calculations manually.
Data input tables - graduate degrees by gender and grade level
OBSERVED
A
B
C
D
E
F
Total
If desired, you can do manual calculations per cell here.
M Grad
A
B
C
D
E
F
Fem Grad
M Grad
Male Und
Fem Grad
Female Und
Male Und
Female Und
Sum =
EXPECTED
M Grad
For this exercise - ignore the requirement for a correction factor
Fem Grad
for cells with expected values less than 5.
Male Und
Female Und
Interpretation:
What is the value of the chi square statistic:
What is the p-value associated with this value:
Is the p-value <0.05?
Do you reject or not reject the null hypothesi.
DataIDSalaryCompa-ratioMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GradeDo not manipuilate Data set on this page, copy to another page to make changes163.21.108573485805.70METhe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 227.10.873315280703.90MBNote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.335.31.138313075513.61FB461.41.07857421001605.51METhe column labels in the table mean:546.90.9784836901605.71MDID – Employee sample number Salary – Salary in thousands 674.61.1136736701204.51MFAge – Age in yearsPerformance Rating - Appraisal rating (employee evaluation score)740.81.0194032100815.71FCService – Years of service (rounded)Gender – 0 = male, 1 = female 823.81.035233290915.81FAMidpoint – salary grade midpoint Raise – percent of last raise974.21.108674910010041MFGrade – job/pay gradeDegree (0= BS\BA 1 = MS)1023.41.017233080714.71FAGender1 (Male or Female)Compa-ratio - salary divided by midpoint1122.30.97123411001914.81FA1264.61.1345752952204.50ME1340.61.0164030100214.70FC14230.99823329012161FA1525.21.094233280814.91FA1645.71.143404490405.70MC1770.21.2315727553131FE1834.71.1193131801115.60FB1923.91.039233285104.61MA2033.51.0813144701614.80FB21711.0606743951306.31MF2252.91.103484865613.81FD2322.10.960233665613.30FA2456.81.183483075913.80FD2524.31.0562341704040MA2624.61.071232295216.20FA2743.41.084403580703.91MC28771.149674495914.40FF2974.71.115675295505.40MF3047.80.9954845901804.30MD3120.70.898232960413.91FA3228.60.921312595405.60MB3359.21.038573590905.51ME3427.30.881312680204.91MB3522.90.996232390415.30FA3622.70.987232775314.30FA3723.91.037232295216.20FA3864.71.1355745951104.50ME39351.128312790615.50FB4023.61.024232490206.30MA4146.61.166402580504.30MC4223.31.0152332100815.71FA4376.41.1406742952015.50FF4461.21.0745745901605.21ME45511.062483695815.21FD4658.81.0315739752003.91ME4766.91.174573795505.51ME4870.71.2405734901115.31FE4963.51.1145741952106.60ME5064.51.1325738801204.60ME
Week 1Week 1: Descriptive Statistics, including ProbabilityWhile the lectures will examine our equal pay question from the compa-ratio viewpoint, our weekly assignments will focus onexamining the issue using the salary measure.The purpose of this assignmnent is two fold:1. Demonstrate mastery with Excel tools.2. Develop descriptive statistics to help examine the question.3. Interpret descriptive outcomesThe first issue in examining salary data to determine if we - as a company - are paying males and females equally for doing equal work is to develop somedescriptive statistics to give us something to make a preliminary decision on whether we have an issue or not.1Descriptive Statistics: Develop basic descriptive statistics for SalaryThe first step in analyzing data sets is to find some summary descriptive statistics for key variables. Suggestion: Copy the gender1 and salary columns from the Data tab to co.
1IntroductionThe objective of this study plan is to evaluate.docxrobert345678
1
Introduction
The objective of this study plan is to evaluate the viability of our solution in relation to previously conducted test cases for companies operating in industries analogous to those of our own. In this section, we will concentrate on the manner in which these use cases measure the performance characteristics of various technical and behavioral qualities connected with an investment in technology made on behalf of a business. The viewpoints and data sources of stakeholders will be incorporated into our measuring system. This measurement framework will be utilized by us in order to assess and analyze the overall performance of our product. After the solution has been implemented, we will conduct post-implementation evaluations to determine how the solution affected the organization. The management of change will play a significant role in our overall research agenda. The plan will adhere to a certain format in providing the findings of the data analysis.
Measurement framework
In order to present an all-encompassing picture of performance, the measuring framework must to take into account the many stakeholder viewpoints as well as the various data sources. Perspectives from stakeholders may come from a variety of sources, such as the user community, project managers, or senior leadership. Customer feedback, system logs, and performance statistics are three examples of potential data sources (Thabane, 2009).
The purpose of the measurement framework is to supply stakeholders with viewpoints and data sources that may be utilized to evaluate the effectiveness of an investment in technology. The framework consists of four dimensions: behavioral characteristics, organizational aspects, user factors, and technological qualities (McShane, 2018). To evaluate how well the technology investment is working out, there is a separate set of performance indicators linked with each of the dimensions of the evaluation.
Indicators such as system uptime, reaction time, and throughput are examples of technical qualities. Indicators that make up behavioral qualities include things like user happiness, adoption rates, and the costs of training. Indicators like as return on investment (ROI) and total cost of ownership are included in the category of organizational variables (TCO). The metrics that make up user factors include things like user happiness, adoption rates, and training expenses (McShane, 2018).
The measuring framework draws its information from a variety of data sources, including organizational data, user data, performance data, and financial data. The return on investment (ROI) and total cost of ownership (TCO) of the technological investment may both be calculated using financial data (Jalal, 2017). The uptime, reaction time, and throughput of the system may all be evaluated based on the performance statistics. Data from users may be analyzed to determine factors such as user happiness, adoption rates, and the costs of training (Thabane,.
1Project One Executive SummaryCole Staats.docxrobert345678
1
Project One: Executive Summary
Cole Staats
Southern New Hampshire University
BUS 225: Critical Business Skills for Success
Jennyfer Puentes
November 14, 2022
Project One: Executive SummaryProblem
With the restricted economic activity expected because of the COVID-19 outbreak, and the rise in inflation the revenue for the automobile engine and parts manufacturing industry has been adjusted to decline by 10.9% by the end of 2022 (Pantalon, 2022). Based on the current challenges the automotive industry faces, we must diversify our engine manufacturing and its operations to expand our revenue. In this presentation, I will be using qualitative and quantitative data to explain why I think our company should rapidly explore the ever-evolving and growing popularity of the electric car industry and develop electric motors. I will show the qualitative data which will focus on the industry reports of engine manufacturing inside the automotive industry. The quantitative data that I will provide will estimate the projections for future operations and provide fact-checked historical data on the automotive industry. Automotive Manufacturing Industry
After conducting extensive research into the current automotive industry status, where I focused on the performance and expectations for the industry's future, the 2021 measured revenue of the US car and automobile manufacturing was $75 billion. This is compared to previous years, such as 2020 $69 billion, and in 2019 and 2018 $92 billion (MarketLine 2021). Although we saw a rise from 2020 to 2021 in revenue the automobile manufacturing industry revenue will continue to not keep pace with previous years. As the domestic demand for new vehicles trends higher, three automotive hubs are expected to gain greater traction over the next few years. With that said the US automotive industry is heavily established in the Great Lakes region. This region represents just over 36% of the automobile manufacturers in the US. Some of the most successful automobile making are located here which include the Ford Motor Company, General Motors, and Fiat Chrysler. All these manufacturers are in Michigan which makes up 15% of all automobile manufacturing revenue in the US. With that said there are 2 more regions where automobile manufacturers operate that make up 50% of all us manufacturers' locations. The Regions are the West Region, making up 25.4% of the industry locations, and the Southeast Region, making up 24.6% of the industry locations. After conducting research, the consumer's current mindset is shifting towards a “greener” option for the automobile. This option would have a smaller carbon footprint, providing an increase in producing vehicles that are more environmentally friendly. As a result of this new stance on a “greener” option by the consumer the hybrid and the electric car are gaining popularity and are expected to multiply over the next five years (MarketLine 2018). “In 2025 the North American hybri.
1
Management Of Care
Chamberlain University
NR452: Capstone
Professor Alison Colvin.
Date: November 23, 2022.
Management of Care
Management of care involves organizing, prioritizing, maintaining strict patient confidentiality, providing patient with efficient care, education to patient and families, risk stratification, coordination of care transition and medication management. Patient care management is provided to client by nurses and other health care professionals “Management of the critically injured patient is optimized by a coordinated team effort in an organized trauma system that allow for rapid assessment and initiation of life- preserving therapies. (Cantrell, E., & Doucet, J. 2018). Effective patient care management can impact patient heath more positively, when all healthcare professionals work together to provide quality care in promoting patient centered care. Adequate patient care can prevent readmission or admission, also can reduce distress, total cost of care, improve self-management, disease control and patient overall health.
Patient care is important to patient because its ensure that patient receive the needed possible care they deserve when in the hospital and out of the hospital, patient will feel their demand is understood and listened to if they health needs are met and understood by professionals that know how to manage their health care needs, health care management team member work together to ensure patient safety through effective communication and collaboration, advocating for patient by connecting patient to community and social services resources that will promote their health care needs can be beneficial to patient, environmental and home risk assessment, and effective facilitation of communication between members of the healthcare team.
Nurses play a role in managing a patient health, roles such as: Critical thinking skills, in this case the nurse can recognize any shift in patient health status which plays a significant role in decision making and patient centered care. Time management: delegation, prioritization such as knowing what to do first, what is important, and knowing what task is more important for the patient at a particular time. Patient education is also one of the many role’s nurses do to educate patient on what to expect during a procedure, or during recovery, also teachings on complications or adverse effects of a medication. Clinical reasoning and judgement which will promote quality of health through patient centered care that addresses patient specific health care needs. Holman, H. C., Williams, “et al”. (2019).
References
Cantrell, E., & Doucet, J. (2018). Initial Management of Life-Threatening Trauma.
DeckerMed Critical Care of the Surgical Patient.
https://doi.org/10.2310/7ccsp.2129
Holman, H. C., Williams, D., Johnson, J., Sommer, S., Ball, B. S., Lemon, T.,
& Assessment Technologies Institute. (2019). Nursing leadership
an.
15Problem Orientation and Psychologica.docxrobert345678
1
5
Problem Orientation and Psychological Distress Among Adolescents: Do Cognitive Emotion Regulation Strategies Mediate Their Relationship?
Student's name; students' names
Department affiliation; university affiliation
Course name; course number
Instructors’ name
Assignment due date
Part One
The development of essential attitudes and abilities that help determine a person's susceptibility to psychological discomfort occurs throughout adolescence's formative years. This particular research aimed to investigate the relationship between problem-solving-oriented and cognitive-behavioral techniques for emotion regulation and levels of psychological discomfort (Speyer etal.,2021).
Notably, the issue of violence among adolescents is increasingly recognized as a severe problem in terms of public health. However, little research has investigated the importance of techniques to control cognitive emotion in teenagers, despite the increased interest in psychographic risk factors for violent conduct. The primary focus of this study will be to investigate the frequency of violent behaviors shown by adolescents and to determine the nature of the connection that exists between specific coping mechanisms for regulating cognition and emotion and various manifestations of aggressive behavior. Using confidential, self-reporting questionnaires, the research will conduct a cross-sectional survey of 3,315 students in grades 7 to 10 to investigate methods by which young adolescents may manage their cognitive processes, emotions, and actions connected to violence. The participants will be notified about the survey, but their personal information will not be public under any circumstances since this would violate ethical standards.
The influence of a father on his children might also vary depending on the gender and age of the kid. For boys, parental psychological distress is related to higher internalizing and externalizing issues throughout early adolescence. This finding lends credence to the notion that this stage of development may be especially significant in father-son exchanges. On the other hand, there is a correlation between maternal and paternal psychological discomfort in early infancy and increased levels of internalizing and externalizing difficulties in females (Speyer et al.,2021). Growing up with a father who struggles with mental illness may make girls more reserved, reducing the possibility that they would acquire issues that are manifested outside their bodies. This is one of the possible explanations.
Part Two
The whole of this project shall be guided by the research questions below: (what is the prevalence of adolescent violent behaviors? what is the relationship between specific strategies to regulate cognitive emotion and forms of violent behavior?)
To help operationalize the variables, a logistic regression model will be used to determine the nature of the connection between specific violent actions .
122422, 850 AMHow to successfully achieve business integrat.docxrobert345678
12/24/22, 8:50 AMHow to successfully achieve business integration - Chakray
Page 1 of 8https://www.chakray.com/how-to-successfully-achieve-business-integration/
How to successfully achieve
business integration
The whole process of integrated
business computing is a big step for
any company. From the moment it
decides to group all systems and
applications, the company must devote
much effort in creating a more
productive environment in accordance
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12/24/22, 8:50 AMHow to successfully achieve business integration - Chakray
Page 2 of 8https://www.chakray.com/how-to-successfully-achieve-business-integration/
to the environment in which it is
located. Business integration is a
necessity. From many points of view
and experiences, the different strategies
have brought success to many
companies that were therefore
encouraged to carry out the entire
integration process. The benefits speak
for themselves: lower expenses for
systems, automation of processes, less
time spent in work, better control of
information.
-You can’t miss the 7 benefits of
Enterprise Application Integration!-
This is due to the fact that integrated
business computing works better. The
company’s IT works as a stage for the
renewal of its functions. Its capacity for
updating and deleting errors, as well as
cloud adaptation or hybrid operation,
allows it to generate unparalleled
results.
Companies with integrated business
computing are not only more
productive, but they also stand above
their competitors thanks to the great
work capacity they can assume. It
doesn’t matter if the systems they have
are complex, the management is simple
and allows work policies to be fulfilled
and its employees to perform better.
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1PAGE 5West Chester Private School Case StudyGrand .docxrobert345678
1
PAGE
5
West Chester Private School Case Study
Grand Canyon University
MGT-420: Organizational Behavior and Management
December 11th, 2022
West Chester Private School
Your introduction should be typed here. It should be at least four sentences and include a thesis statement that introduces all the key points of the paper. Please note that you should follow all APA writing rules within your essay. This means avoid first and second person, do not use contractions, and use citations throughout your paper. The final sentence in your introduction must be a strong thesis statement that introduces every key topic that will be introduced in the paper. Remember that a thesis should be one sentence. Here is an example: In the pages to follow, West Chester Private School (WCPS) will be discussed in the context of open systems, organizational culture, the decision to close and the closure process, the impact of technology and innovation on stakeholders, administration closure options, the plans for future direction of WCPS, along with the four functions of management.
External Environment and Open Systems
There are certain ways in which organizations interact with their external environment (as open systems). These ways rely on the Systems Approach to Management Theory, which perceives an organization as an open system that consists of interdependent and interrelated parts interacting as sub-systems (Jackson, 2017). Generally, organizations rely on the exchange of resources and information with their environments. More so, they cannot hold complete control over their behavior and actions, which are significantly impacted by external forces. For example, an organization may be impacted by various environmental conditions such as government regulations, client demands, and raw material availability. As an open system, an organization can interact with the external environment in the context of inputs, transformations, and outputs. Inputs refer to both human and non-human resources like materials, energy, and information. Transformations refer to the conversion of inputs into outputs. For example, a school can transform a student into an educated individual. Finally, outputs refer to what an organization is giving to the environment.
Internal Environment and Organizational Culture
At the time of the closure, the effectiveness of West Chester Private School (WCPS) as an open system was inadequate. One important factor that impacts the effectiveness of an open system is feedback. Feedback refers to the information that an open system receives from the external environment, which can be used to maintain a system at optimal working conditions or a steady state (Jung & Vakharia, 2019). In the case of WCPS, feedback could be received from parents, teachers, and students. At the time of the closure, none of these stakeholders was consulted. Instead, WCPS made a unilateral decision to close down two campuses without considering the input of parents, te.
12Toxoplasmosis and Effects on Abortion, And Fetal A.docxrobert345678
12
Toxoplasmosis and Effects on Abortion, And Fetal Abnormalities
Toxoplasmosis and Effects on Abortion, And Fetal Abnormalities
Abstract
The placenta is an immune-privileged organ that may tolerate antigen exposure without eliciting a strong inflammatory response that could result in an abortion. After that, the pregnancy can progress normally. Th1 answers, characterized by interferon-, are essential for suppressing intracellular infections. Therefore, the maternal immune system finds a catch-22 when intracellular parasites invade the placenta. The pro-inflammatory response required to eradicate the virus carries the danger of causing an abortion. Toxoplasma is a potent parasite that causes lifetime infections and is a leading cause of abortions in people and animals. This paper speculates that the pregnancy outcome may be affected by the Toxoplasma strain and the effectors of the parasite, both of which can modify the signaling pathways of the host cell.
Introduction
Fetuses infected with the protozoan parasite Toxoplasma gondii can develop a disorder known as toxoplasmosis, sometimes called congenital toxoplasmosis. This disease is transmitted from mother to child in the womb. A miscarriage or a stillbirth might happen as a result. A child with this illness may also have significant and progressively deteriorating difficulties in their vision, hearing, motor skills, cognitive ability, and other areas of development. The parasite Toxoplasma gondii is blamed for many pregnancies ending in miscarriage (Arranz-Solís et al., 2021). Most abortions happen in the first trimester of pregnancy or during the early stages of acute sickness. This research aimed to determine if women who had an abortion were more likely to be infected with toxoplasmosis.
To make matters worse, the toxoplasmosis-causing Toxoplasma gondii is an obligate intracellular pathogen that infects nearly every animal species with a thermoregulatory system. Transferring Toxoplasma from one host to another requires the development of tissue cysts that are infectious when ingested. This means the parasite is incentivized to ensure that the host organism lives during the infection. The parasite does this by stimulating an immune response powerful enough to limit parasite reproduction. Toxoplasma, on the other hand, uses a unique set of effectors to evade the immune response and ensure that the parasite population does not decrease to zero.
Results
Type II strains are the most common cause of infection in both animal and human hosts. However, all four clonal lineages of Toxoplasma may be found throughout Europe and North America. It has been established, however, that the bulk of the South American isolates identified is genetically distinct from the strains seen in North America and Europe. Certain sorts of isolates have been labeled as atypical strains. Birth abnormalities apart, type II strains are the most common in Europe and North America, where the great majority of .
122022, 824 PM Rubric Assessment - SOC1001-Introduction to .docxrobert345678
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
SOC1001 Week 4 Project Rubric
Course: SOC1001-Introduction to Sociology SU05
Criteria
Posted an essay of 4 or more
paragraph s and 400 or more
words that implement ed
instructor feedback on draft.
Draft
included engaging introducti on with a main
point.
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Satisfac
(C Ra
(14-15)
points
Student
did not
submit a
draft.
The draft
was only 1
paragraph
OR fewer
than 299
words.
The dra
was on
two
paragra
or only
300- 34
words.
No
introducti
on was
included.
The
introducto
ry
paragraph
was
minimally
developed
and/or did
not state
the main
ideas of the
essay.
Criteria
No Submission
0 points Em
thr
Ran
(1-2
points
Criterion Score
https://myclasses.southuniversity.edu/d2l/lms/competencies/rubric/rubrics_assessment_results.d2l?ou=95226&evalObjectId=512964&evalObjectType… 1/3
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
No
Submission 0
points
Emerging (F
through D
Range)
(1-27) 27
points
Satisfactory
(C Range)
(28-31) 31
points
Above
Average (B
Range)
(32-35) 35
points
Exemplary
(A Range)
(36-40) 40
points
At least
one of the
following:
Content
was
off-topic;
body
paragrap
hs were
missing.
The draft
included at
least two
body
paragrap
hs, but
they
were
minimally
developed.
The draft
included at
least two
body
paragrap
hs, but
they
could have
been more
developed.
The draft
included
at least
two
well
developed
body
paragraphs.
Criteria
Criterion
Score
The draft
body
paragraph
s included
sufficient
developme
nt and
supporting
evidence/
examples.
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Sa
(C
(14
po
No
conclusion
was
included.
The
concluding
paragraph
was
minimally
developed
and/or did
not restate
the main
ideas of
the essay.
Th
co
pa
w
de
an
re
th
id
th
/ 40
Criteria
Criterion
Score
Draft
included a
conclusion
that
restated
the main
ideas of
the essay.
Criteria
No Submission
0 points
Em
thr
Ran
(1-
poi
/ 20
Criterion Score
https://myclasses.southuniversity.edu/d2l/lms/competencies/rubric/rubrics_assessment_results.d2l?ou=95226&evalObjectId=512964&evalObjectType… 2/3
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Satisfactory
(C Range)
(14-15) 15
points
Above
Average (B
Range)
(16-17) 17
points
Exemplary
(A Range)
(18-20) 20
points
No
submissio
n for
which to
evaluate
language
and
grammar.
Draft did
not list
References
and/or
numerous
issues in
any of the
following:
grammar,
mechanics,
spelling,
use of
slang,
APA.
Draft
listed
Referenc
es
but had
some
spelling,
grammatic
al,
structural,
and/or
APA
errors.
Draft
.
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Chi-square tests are great to show if distributions differ or i.docxMARRY7
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: ...
Final Exam Due Friday, Week EightInstructions Each response is.docxmydrynan
Final Exam Due Friday, Week Eight
Instructions: Each response is worth a maximum of 50 points. Number and state the question. Space and then give your response. Each response will be a minimum 175 and maximum 225 words. Utilize the book, at least one resource beyond the course book and your personal examples in each response. This means that beyond the course text you should have a minimum of 4 references for this midterm exam. Create appropriate headings/subheading for each response and then give your detailed answer to the question.
Use Word doc. or docx only. Times New Roman, 12 font and double-space everything. Include a cover page and reference page. Return exam via email attachment NLT. Follow APA 6th ed. formatting requirements.
NO LATE EXAMS WILL BE ACCEPTED!
1. In determining rates of pay, how are the decisions made as to who gets paid $7.00 per hour and who will receive $1 million for a years work?
2. How can team effort result in improved organizational profitability?
3. What is reverse discrimination and how does it influence the design of an executive compensation plan?
4. With benefits consuming approximately 40 percent of the compensation dollar of most organizations, among many managers the “fringe benefit” concept still exists. Develop a detailed outline of the various components of a typically benefits program, indicating their importance and scope. Develop the outline so that it can be used for a presentation. (This response length may vary, so ensure you meet the requirements as stated.)
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.87 ...
DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.The column labels in the table mean:ID – Employee sample number Salary – Salary in thousands Age – Age in yearsPerformance Rating - Appraisal rating (employee evaluation score)Service – Years of service (rounded)Gender – 0 = male, 1 = female Midpoint – salary grade midpoint Raise – percent of last raiseGrade – job/pay gradeDegree (0= BS\BA 1 = MS)Gender1 (Male or Female)Compa - salary divided by midpoint
Week 1Week 1.Measurement and Description - chapters 1 and 2The goal this week is to gain an understanding of our data set - what kind of data we are looking at, some descriptive measurse, and a look at how the data is distributed (shape).1Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: overall sample, Females, and Males.You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =stdev functions. (the range must be found using the difference between the =max and =min functions with Fx) functions.Note: Place data to the right, if you use Descriptive statistics, place that to the right as well.Some of the values are completed for you - please finish the table.SalaryCompaAgePerf. Rat.ServiceOverallMean35.785.99.0Standard Deviation8.251311.41475.7177Note - data is a sample from the larger company populationRange304521FemaleMean32.584.27.9Standard Deviation6.913.64.9Range26.045.018.0MaleMean38.987.610.0Standard Deviation8.48.76.4Range28.030.021.03What is the probability for a:Probabilitya. Randomly selected person being a male in grade E?b. Randomly selected male being in grade E? Note part b is the same as given a male, what is probabilty of being in grade E?c. Why are the results different?4A key issue in comparing data sets is to see if they are distributed/shaped the same. We can do this by looking at some measures of wheresome selected values are within each data set - that .
IN ORDER TO IMPLEMENT A SET OF RULES / TUTORIALOUTLET DOT COMjorge0050
Solve each trigonometric equation in the interval [0,2n) by first squaring both sides. fleas x=1+sin x Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A- The solution set is .
(Simplify your answer. Use a comma to separate answers as needed. Type an exact answer, using 1: as needed. Use integers or fractions for any numbers in the expression.) 0 B. There is no solution on this interval.
MARKETING MANAGEMENT PHILOSOPHIES
CHAPTER 1 - ASSIGNMENT
Question 1.
Considering the differences of the philosophies, in some cases slight differences, select a company (product or service) and describe the current philosophy they pose for the customer. Include in your comments the level of customer value delivered by the company’s actions.
In other words, measure the company’s interaction with their customers against the Market Concept Philosophy. Does the company operate under the Market Concept Philosophy or do they lean more toward one of the other Philosophies.
Be specific with your examples.
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variabl ...
TEST #1Perform the following two-tailed hypothesis test, using a.docxmattinsonjanel
TEST #1
Perform the following two-tailed hypothesis test, using a .05 significance level:
· Intrinsic by Gender
· State the null and an alternate statement for the test
· Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test. Copy and paste the results of the output to your report in Microsoft Word.
· Identify the significance level, the test statistic, and the critical value.
· State whether you are rejecting or failing to reject the null hypothesis statement.
· Explain how the results could be used by the manager of the company.
TEST #2
Perform the following two-tailed hypothesis test, using a .05 significance level:
· Extrinsic variable by Position Type
· State the null and an alternate statement for the test
· Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test.
· Copy and paste the results of the output to your report in Microsoft Word.
· Identify the significance level, the test statistic, and the critical value.
· State whether you are rejecting or failing to reject the null hypothesis statement.
· Explain how the results could be used by the manager of the company.
GENERAL ANALYSIS (Research Required)
Using your textbook or other appropriate college-level resources:
· Explain when to use a t-test and when to use a z-test. Explore the differences.
· Discuss why samples are used instead of populations.
The report should be well written and should flow well with no grammatical errors. It should include proper citation in APA formatting in both the in-text and reference pages and include a title page, be double-spaced, and in Times New Roman, 12-point font. APA formatting is necessary to ensure academic honesty.
Be sure to provide references in APA format for any resource you may use to support your answers.
Making Inferences
When data are collected, various summary statistics and graphs can be used for describing data; however, learning about what the data mean is where the power of statistics starts. For example, is there really a difference between two leading cola products? Hypothesis testing is an example of making these types of inferences on data sets.
Hypothesis Tests
Claims are made all the time, such as a particular light bulb will last a certain number of hours.
Claims like this are tested with hypothesis testing. It is a straight forward procedure that consists of the following steps:
1. A claim is made.
2. A value for probability of significance is chosen.
3. Data are collected.
4. The test is performed.
5. The results are analyzed.
Hypothesis tests are performed on the mean of the population. µ
It is not possible to test the full population. For example, it would be impossible to test every light bulb. Instead, the hypothesis test is performed on a sample of the population.
Setting up a Hypothesis Test
When performing hypothesis testing, the test is setup with a null hypothesis (or claim) and the alternative hypothesis. ...
Ashford 4: - Week 3 - Discussion 1
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
ANOVA
In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on why you agree or disagree with the statistical test that your peers have described as appropriate in this scenario.
Ashford 4: - Week 3 - Discussion 2
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
Effect Size
Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?
Ashford 4: - Week 3 - Assignment
Problem Set Week Three
Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
All statistical calculations will use the Employee Salary Data Set and the Week 3 assignment sheet.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
See comments at the right of the data set.
ID
Salary
Compa
Midpoint
Age
Performance Rating
Service
Gender
Raise
Degree
Gender1
Grade
8
23
1.000
23
32
90
9
1
5.8
0
F
A
The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)?
10
22
0.956
23
30
80
7
1
4.7
0
F
A
Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.
11
23
1.000
23
41
100
19
1
4.8
0
F
A
14
24
1.043
23
32
90
12
1
6
0
F
A
The column labels in the table mean:
15
24
1.043
23
32
80
8
1
4.9
0
F
A
ID – Employee sample number
Salary – Salary in thousands
23
23
1.000
23
36
65
6
1
3.3
1
F
A
Age – Age in years
Performance Rating – Appraisal rating (Employee evaluation score)
26
24
1.043
23
22
95
2
1
6.2
1
F
A
Service – Years of service (rounded)
Gender: ...
ScoreWeek 4Confidence Intervals and Chi Square (Chs .docxpotmanandrea
Score:
Week 4
Confidence Intervals and Chi Square (Chs 11 - 12)
For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions.
For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed.
<1 point>
1
Using our sample data, construct a 95% confidence interval for the population's mean salary for each gender.
Interpret the results. How do they compare with the findings in the week 2 one sample t-test outcomes (Question 1)?
Mean
St error
t value
Low
to
High
Males
Females
Interpretation:
<1 point>
2
Using our sample data, construct a 95% confidence interval for the mean salary difference between the genders in the population.
How does this compare to the findings in week 2, question 2?
Difference
St Err.
T value
Low
to
High
Yes/No
Can the means be equal?
Why?
How does this compare to the week 2, question 2 result (2 sampe t-test)?
a.
Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-sample techniques when comparing two samples?
<1 point>
3
We found last week that the degree values within the population do not impact compa rates.
This does not mean that degrees are distributed evenly across the grades and genders.
Do males and females have athe same distribution of degrees by grade?
(Note: while technically the sample size might not be large enough to perform this test, ignore this limitation for this exercise.)
What are the hypothesis statements:
Ho:
Ha:
Note: You can either use the Excel Chi-related functions or do the calculations manually.
Data input tables - graduate degrees by gender and grade level
OBSERVED
A
B
C
D
E
F
Total
If desired, you can do manual calculations per cell here.
M Grad
A
B
C
D
E
F
Fem Grad
M Grad
Male Und
Fem Grad
Female Und
Male Und
Female Und
Sum =
EXPECTED
M Grad
For this exercise - ignore the requirement for a correction factor
Fem Grad
for cells with expected values less than 5.
Male Und
Female Und
Interpretation:
What is the value of the chi square statistic:
What is the p-value associated with this value:
Is the p-value <0.05?
Do you reject or not reject the null hypothesi.
DataIDSalaryCompa-ratioMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GradeDo not manipuilate Data set on this page, copy to another page to make changes163.21.108573485805.70METhe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 227.10.873315280703.90MBNote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.335.31.138313075513.61FB461.41.07857421001605.51METhe column labels in the table mean:546.90.9784836901605.71MDID – Employee sample number Salary – Salary in thousands 674.61.1136736701204.51MFAge – Age in yearsPerformance Rating - Appraisal rating (employee evaluation score)740.81.0194032100815.71FCService – Years of service (rounded)Gender – 0 = male, 1 = female 823.81.035233290915.81FAMidpoint – salary grade midpoint Raise – percent of last raise974.21.108674910010041MFGrade – job/pay gradeDegree (0= BS\BA 1 = MS)1023.41.017233080714.71FAGender1 (Male or Female)Compa-ratio - salary divided by midpoint1122.30.97123411001914.81FA1264.61.1345752952204.50ME1340.61.0164030100214.70FC14230.99823329012161FA1525.21.094233280814.91FA1645.71.143404490405.70MC1770.21.2315727553131FE1834.71.1193131801115.60FB1923.91.039233285104.61MA2033.51.0813144701614.80FB21711.0606743951306.31MF2252.91.103484865613.81FD2322.10.960233665613.30FA2456.81.183483075913.80FD2524.31.0562341704040MA2624.61.071232295216.20FA2743.41.084403580703.91MC28771.149674495914.40FF2974.71.115675295505.40MF3047.80.9954845901804.30MD3120.70.898232960413.91FA3228.60.921312595405.60MB3359.21.038573590905.51ME3427.30.881312680204.91MB3522.90.996232390415.30FA3622.70.987232775314.30FA3723.91.037232295216.20FA3864.71.1355745951104.50ME39351.128312790615.50FB4023.61.024232490206.30MA4146.61.166402580504.30MC4223.31.0152332100815.71FA4376.41.1406742952015.50FF4461.21.0745745901605.21ME45511.062483695815.21FD4658.81.0315739752003.91ME4766.91.174573795505.51ME4870.71.2405734901115.31FE4963.51.1145741952106.60ME5064.51.1325738801204.60ME
Week 1Week 1: Descriptive Statistics, including ProbabilityWhile the lectures will examine our equal pay question from the compa-ratio viewpoint, our weekly assignments will focus onexamining the issue using the salary measure.The purpose of this assignmnent is two fold:1. Demonstrate mastery with Excel tools.2. Develop descriptive statistics to help examine the question.3. Interpret descriptive outcomesThe first issue in examining salary data to determine if we - as a company - are paying males and females equally for doing equal work is to develop somedescriptive statistics to give us something to make a preliminary decision on whether we have an issue or not.1Descriptive Statistics: Develop basic descriptive statistics for SalaryThe first step in analyzing data sets is to find some summary descriptive statistics for key variables. Suggestion: Copy the gender1 and salary columns from the Data tab to co.
Similar to 1NOTE This is a template to help you format Project Part .docx (12)
1IntroductionThe objective of this study plan is to evaluate.docxrobert345678
1
Introduction
The objective of this study plan is to evaluate the viability of our solution in relation to previously conducted test cases for companies operating in industries analogous to those of our own. In this section, we will concentrate on the manner in which these use cases measure the performance characteristics of various technical and behavioral qualities connected with an investment in technology made on behalf of a business. The viewpoints and data sources of stakeholders will be incorporated into our measuring system. This measurement framework will be utilized by us in order to assess and analyze the overall performance of our product. After the solution has been implemented, we will conduct post-implementation evaluations to determine how the solution affected the organization. The management of change will play a significant role in our overall research agenda. The plan will adhere to a certain format in providing the findings of the data analysis.
Measurement framework
In order to present an all-encompassing picture of performance, the measuring framework must to take into account the many stakeholder viewpoints as well as the various data sources. Perspectives from stakeholders may come from a variety of sources, such as the user community, project managers, or senior leadership. Customer feedback, system logs, and performance statistics are three examples of potential data sources (Thabane, 2009).
The purpose of the measurement framework is to supply stakeholders with viewpoints and data sources that may be utilized to evaluate the effectiveness of an investment in technology. The framework consists of four dimensions: behavioral characteristics, organizational aspects, user factors, and technological qualities (McShane, 2018). To evaluate how well the technology investment is working out, there is a separate set of performance indicators linked with each of the dimensions of the evaluation.
Indicators such as system uptime, reaction time, and throughput are examples of technical qualities. Indicators that make up behavioral qualities include things like user happiness, adoption rates, and the costs of training. Indicators like as return on investment (ROI) and total cost of ownership are included in the category of organizational variables (TCO). The metrics that make up user factors include things like user happiness, adoption rates, and training expenses (McShane, 2018).
The measuring framework draws its information from a variety of data sources, including organizational data, user data, performance data, and financial data. The return on investment (ROI) and total cost of ownership (TCO) of the technological investment may both be calculated using financial data (Jalal, 2017). The uptime, reaction time, and throughput of the system may all be evaluated based on the performance statistics. Data from users may be analyzed to determine factors such as user happiness, adoption rates, and the costs of training (Thabane,.
1Project One Executive SummaryCole Staats.docxrobert345678
1
Project One: Executive Summary
Cole Staats
Southern New Hampshire University
BUS 225: Critical Business Skills for Success
Jennyfer Puentes
November 14, 2022
Project One: Executive SummaryProblem
With the restricted economic activity expected because of the COVID-19 outbreak, and the rise in inflation the revenue for the automobile engine and parts manufacturing industry has been adjusted to decline by 10.9% by the end of 2022 (Pantalon, 2022). Based on the current challenges the automotive industry faces, we must diversify our engine manufacturing and its operations to expand our revenue. In this presentation, I will be using qualitative and quantitative data to explain why I think our company should rapidly explore the ever-evolving and growing popularity of the electric car industry and develop electric motors. I will show the qualitative data which will focus on the industry reports of engine manufacturing inside the automotive industry. The quantitative data that I will provide will estimate the projections for future operations and provide fact-checked historical data on the automotive industry. Automotive Manufacturing Industry
After conducting extensive research into the current automotive industry status, where I focused on the performance and expectations for the industry's future, the 2021 measured revenue of the US car and automobile manufacturing was $75 billion. This is compared to previous years, such as 2020 $69 billion, and in 2019 and 2018 $92 billion (MarketLine 2021). Although we saw a rise from 2020 to 2021 in revenue the automobile manufacturing industry revenue will continue to not keep pace with previous years. As the domestic demand for new vehicles trends higher, three automotive hubs are expected to gain greater traction over the next few years. With that said the US automotive industry is heavily established in the Great Lakes region. This region represents just over 36% of the automobile manufacturers in the US. Some of the most successful automobile making are located here which include the Ford Motor Company, General Motors, and Fiat Chrysler. All these manufacturers are in Michigan which makes up 15% of all automobile manufacturing revenue in the US. With that said there are 2 more regions where automobile manufacturers operate that make up 50% of all us manufacturers' locations. The Regions are the West Region, making up 25.4% of the industry locations, and the Southeast Region, making up 24.6% of the industry locations. After conducting research, the consumer's current mindset is shifting towards a “greener” option for the automobile. This option would have a smaller carbon footprint, providing an increase in producing vehicles that are more environmentally friendly. As a result of this new stance on a “greener” option by the consumer the hybrid and the electric car are gaining popularity and are expected to multiply over the next five years (MarketLine 2018). “In 2025 the North American hybri.
1
Management Of Care
Chamberlain University
NR452: Capstone
Professor Alison Colvin.
Date: November 23, 2022.
Management of Care
Management of care involves organizing, prioritizing, maintaining strict patient confidentiality, providing patient with efficient care, education to patient and families, risk stratification, coordination of care transition and medication management. Patient care management is provided to client by nurses and other health care professionals “Management of the critically injured patient is optimized by a coordinated team effort in an organized trauma system that allow for rapid assessment and initiation of life- preserving therapies. (Cantrell, E., & Doucet, J. 2018). Effective patient care management can impact patient heath more positively, when all healthcare professionals work together to provide quality care in promoting patient centered care. Adequate patient care can prevent readmission or admission, also can reduce distress, total cost of care, improve self-management, disease control and patient overall health.
Patient care is important to patient because its ensure that patient receive the needed possible care they deserve when in the hospital and out of the hospital, patient will feel their demand is understood and listened to if they health needs are met and understood by professionals that know how to manage their health care needs, health care management team member work together to ensure patient safety through effective communication and collaboration, advocating for patient by connecting patient to community and social services resources that will promote their health care needs can be beneficial to patient, environmental and home risk assessment, and effective facilitation of communication between members of the healthcare team.
Nurses play a role in managing a patient health, roles such as: Critical thinking skills, in this case the nurse can recognize any shift in patient health status which plays a significant role in decision making and patient centered care. Time management: delegation, prioritization such as knowing what to do first, what is important, and knowing what task is more important for the patient at a particular time. Patient education is also one of the many role’s nurses do to educate patient on what to expect during a procedure, or during recovery, also teachings on complications or adverse effects of a medication. Clinical reasoning and judgement which will promote quality of health through patient centered care that addresses patient specific health care needs. Holman, H. C., Williams, “et al”. (2019).
References
Cantrell, E., & Doucet, J. (2018). Initial Management of Life-Threatening Trauma.
DeckerMed Critical Care of the Surgical Patient.
https://doi.org/10.2310/7ccsp.2129
Holman, H. C., Williams, D., Johnson, J., Sommer, S., Ball, B. S., Lemon, T.,
& Assessment Technologies Institute. (2019). Nursing leadership
an.
15Problem Orientation and Psychologica.docxrobert345678
1
5
Problem Orientation and Psychological Distress Among Adolescents: Do Cognitive Emotion Regulation Strategies Mediate Their Relationship?
Student's name; students' names
Department affiliation; university affiliation
Course name; course number
Instructors’ name
Assignment due date
Part One
The development of essential attitudes and abilities that help determine a person's susceptibility to psychological discomfort occurs throughout adolescence's formative years. This particular research aimed to investigate the relationship between problem-solving-oriented and cognitive-behavioral techniques for emotion regulation and levels of psychological discomfort (Speyer etal.,2021).
Notably, the issue of violence among adolescents is increasingly recognized as a severe problem in terms of public health. However, little research has investigated the importance of techniques to control cognitive emotion in teenagers, despite the increased interest in psychographic risk factors for violent conduct. The primary focus of this study will be to investigate the frequency of violent behaviors shown by adolescents and to determine the nature of the connection that exists between specific coping mechanisms for regulating cognition and emotion and various manifestations of aggressive behavior. Using confidential, self-reporting questionnaires, the research will conduct a cross-sectional survey of 3,315 students in grades 7 to 10 to investigate methods by which young adolescents may manage their cognitive processes, emotions, and actions connected to violence. The participants will be notified about the survey, but their personal information will not be public under any circumstances since this would violate ethical standards.
The influence of a father on his children might also vary depending on the gender and age of the kid. For boys, parental psychological distress is related to higher internalizing and externalizing issues throughout early adolescence. This finding lends credence to the notion that this stage of development may be especially significant in father-son exchanges. On the other hand, there is a correlation between maternal and paternal psychological discomfort in early infancy and increased levels of internalizing and externalizing difficulties in females (Speyer et al.,2021). Growing up with a father who struggles with mental illness may make girls more reserved, reducing the possibility that they would acquire issues that are manifested outside their bodies. This is one of the possible explanations.
Part Two
The whole of this project shall be guided by the research questions below: (what is the prevalence of adolescent violent behaviors? what is the relationship between specific strategies to regulate cognitive emotion and forms of violent behavior?)
To help operationalize the variables, a logistic regression model will be used to determine the nature of the connection between specific violent actions .
122422, 850 AMHow to successfully achieve business integrat.docxrobert345678
12/24/22, 8:50 AMHow to successfully achieve business integration - Chakray
Page 1 of 8https://www.chakray.com/how-to-successfully-achieve-business-integration/
How to successfully achieve
business integration
The whole process of integrated
business computing is a big step for
any company. From the moment it
decides to group all systems and
applications, the company must devote
much effort in creating a more
productive environment in accordance
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12/24/22, 8:50 AMHow to successfully achieve business integration - Chakray
Page 2 of 8https://www.chakray.com/how-to-successfully-achieve-business-integration/
to the environment in which it is
located. Business integration is a
necessity. From many points of view
and experiences, the different strategies
have brought success to many
companies that were therefore
encouraged to carry out the entire
integration process. The benefits speak
for themselves: lower expenses for
systems, automation of processes, less
time spent in work, better control of
information.
-You can’t miss the 7 benefits of
Enterprise Application Integration!-
This is due to the fact that integrated
business computing works better. The
company’s IT works as a stage for the
renewal of its functions. Its capacity for
updating and deleting errors, as well as
cloud adaptation or hybrid operation,
allows it to generate unparalleled
results.
Companies with integrated business
computing are not only more
productive, but they also stand above
their competitors thanks to the great
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are complex, the management is simple
and allows work policies to be fulfilled
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1PAGE 5West Chester Private School Case StudyGrand .docxrobert345678
1
PAGE
5
West Chester Private School Case Study
Grand Canyon University
MGT-420: Organizational Behavior and Management
December 11th, 2022
West Chester Private School
Your introduction should be typed here. It should be at least four sentences and include a thesis statement that introduces all the key points of the paper. Please note that you should follow all APA writing rules within your essay. This means avoid first and second person, do not use contractions, and use citations throughout your paper. The final sentence in your introduction must be a strong thesis statement that introduces every key topic that will be introduced in the paper. Remember that a thesis should be one sentence. Here is an example: In the pages to follow, West Chester Private School (WCPS) will be discussed in the context of open systems, organizational culture, the decision to close and the closure process, the impact of technology and innovation on stakeholders, administration closure options, the plans for future direction of WCPS, along with the four functions of management.
External Environment and Open Systems
There are certain ways in which organizations interact with their external environment (as open systems). These ways rely on the Systems Approach to Management Theory, which perceives an organization as an open system that consists of interdependent and interrelated parts interacting as sub-systems (Jackson, 2017). Generally, organizations rely on the exchange of resources and information with their environments. More so, they cannot hold complete control over their behavior and actions, which are significantly impacted by external forces. For example, an organization may be impacted by various environmental conditions such as government regulations, client demands, and raw material availability. As an open system, an organization can interact with the external environment in the context of inputs, transformations, and outputs. Inputs refer to both human and non-human resources like materials, energy, and information. Transformations refer to the conversion of inputs into outputs. For example, a school can transform a student into an educated individual. Finally, outputs refer to what an organization is giving to the environment.
Internal Environment and Organizational Culture
At the time of the closure, the effectiveness of West Chester Private School (WCPS) as an open system was inadequate. One important factor that impacts the effectiveness of an open system is feedback. Feedback refers to the information that an open system receives from the external environment, which can be used to maintain a system at optimal working conditions or a steady state (Jung & Vakharia, 2019). In the case of WCPS, feedback could be received from parents, teachers, and students. At the time of the closure, none of these stakeholders was consulted. Instead, WCPS made a unilateral decision to close down two campuses without considering the input of parents, te.
12Toxoplasmosis and Effects on Abortion, And Fetal A.docxrobert345678
12
Toxoplasmosis and Effects on Abortion, And Fetal Abnormalities
Toxoplasmosis and Effects on Abortion, And Fetal Abnormalities
Abstract
The placenta is an immune-privileged organ that may tolerate antigen exposure without eliciting a strong inflammatory response that could result in an abortion. After that, the pregnancy can progress normally. Th1 answers, characterized by interferon-, are essential for suppressing intracellular infections. Therefore, the maternal immune system finds a catch-22 when intracellular parasites invade the placenta. The pro-inflammatory response required to eradicate the virus carries the danger of causing an abortion. Toxoplasma is a potent parasite that causes lifetime infections and is a leading cause of abortions in people and animals. This paper speculates that the pregnancy outcome may be affected by the Toxoplasma strain and the effectors of the parasite, both of which can modify the signaling pathways of the host cell.
Introduction
Fetuses infected with the protozoan parasite Toxoplasma gondii can develop a disorder known as toxoplasmosis, sometimes called congenital toxoplasmosis. This disease is transmitted from mother to child in the womb. A miscarriage or a stillbirth might happen as a result. A child with this illness may also have significant and progressively deteriorating difficulties in their vision, hearing, motor skills, cognitive ability, and other areas of development. The parasite Toxoplasma gondii is blamed for many pregnancies ending in miscarriage (Arranz-Solís et al., 2021). Most abortions happen in the first trimester of pregnancy or during the early stages of acute sickness. This research aimed to determine if women who had an abortion were more likely to be infected with toxoplasmosis.
To make matters worse, the toxoplasmosis-causing Toxoplasma gondii is an obligate intracellular pathogen that infects nearly every animal species with a thermoregulatory system. Transferring Toxoplasma from one host to another requires the development of tissue cysts that are infectious when ingested. This means the parasite is incentivized to ensure that the host organism lives during the infection. The parasite does this by stimulating an immune response powerful enough to limit parasite reproduction. Toxoplasma, on the other hand, uses a unique set of effectors to evade the immune response and ensure that the parasite population does not decrease to zero.
Results
Type II strains are the most common cause of infection in both animal and human hosts. However, all four clonal lineages of Toxoplasma may be found throughout Europe and North America. It has been established, however, that the bulk of the South American isolates identified is genetically distinct from the strains seen in North America and Europe. Certain sorts of isolates have been labeled as atypical strains. Birth abnormalities apart, type II strains are the most common in Europe and North America, where the great majority of .
122022, 824 PM Rubric Assessment - SOC1001-Introduction to .docxrobert345678
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
SOC1001 Week 4 Project Rubric
Course: SOC1001-Introduction to Sociology SU05
Criteria
Posted an essay of 4 or more
paragraph s and 400 or more
words that implement ed
instructor feedback on draft.
Draft
included engaging introducti on with a main
point.
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Satisfac
(C Ra
(14-15)
points
Student
did not
submit a
draft.
The draft
was only 1
paragraph
OR fewer
than 299
words.
The dra
was on
two
paragra
or only
300- 34
words.
No
introducti
on was
included.
The
introducto
ry
paragraph
was
minimally
developed
and/or did
not state
the main
ideas of the
essay.
Criteria
No Submission
0 points Em
thr
Ran
(1-2
points
Criterion Score
https://myclasses.southuniversity.edu/d2l/lms/competencies/rubric/rubrics_assessment_results.d2l?ou=95226&evalObjectId=512964&evalObjectType… 1/3
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
No
Submission 0
points
Emerging (F
through D
Range)
(1-27) 27
points
Satisfactory
(C Range)
(28-31) 31
points
Above
Average (B
Range)
(32-35) 35
points
Exemplary
(A Range)
(36-40) 40
points
At least
one of the
following:
Content
was
off-topic;
body
paragrap
hs were
missing.
The draft
included at
least two
body
paragrap
hs, but
they
were
minimally
developed.
The draft
included at
least two
body
paragrap
hs, but
they
could have
been more
developed.
The draft
included
at least
two
well
developed
body
paragraphs.
Criteria
Criterion
Score
The draft
body
paragraph
s included
sufficient
developme
nt and
supporting
evidence/
examples.
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Sa
(C
(14
po
No
conclusion
was
included.
The
concluding
paragraph
was
minimally
developed
and/or did
not restate
the main
ideas of
the essay.
Th
co
pa
w
de
an
re
th
id
th
/ 40
Criteria
Criterion
Score
Draft
included a
conclusion
that
restated
the main
ideas of
the essay.
Criteria
No Submission
0 points
Em
thr
Ran
(1-
poi
/ 20
Criterion Score
https://myclasses.southuniversity.edu/d2l/lms/competencies/rubric/rubrics_assessment_results.d2l?ou=95226&evalObjectId=512964&evalObjectType… 2/3
12/20/22, 8:24 PM Rubric Assessment - SOC1001-Introduction to Sociology SU05 - South University
No
Submission 0
points
Emerging (F
through D
Range)
(1-13) 13
points
Satisfactory
(C Range)
(14-15) 15
points
Above
Average (B
Range)
(16-17) 17
points
Exemplary
(A Range)
(18-20) 20
points
No
submissio
n for
which to
evaluate
language
and
grammar.
Draft did
not list
References
and/or
numerous
issues in
any of the
following:
grammar,
mechanics,
spelling,
use of
slang,
APA.
Draft
listed
Referenc
es
but had
some
spelling,
grammatic
al,
structural,
and/or
APA
errors.
Draft
.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
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(If the numbers are too big for your calculator, try
this online calculator.
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1 of 1 DOCUMENT
JAMES E. PETERSON, Plaintiff-Appellant, v. HAROLD KENNEDY, RICHARD
A. BERTHELSEN, and NATIONAL FOOTBALL LEAGUE PLAYERS
ASSOCIATION, Defendants-Appellees
No. 84-5788
UNITED STATES COURT OF APPEALS FOR THE NINTH CIRCUIT
771 F.2d 1244; 1985 U.S. App. LEXIS 23077; 120 L.R.R.M. 2520; 103 Lab. Cas.
(CCH) P11,677
February 6, 1985, Argued and Submitted - Los Angeles, California
September 16, 1985, Decided
PRIOR HISTORY: [**1] Appeal from the United States District Court for the Southern District of California, D.C.
NO. CV-80-1810-N, Honorable Leland C. Nielsen, District Judge, Presiding.
CASE SUMMARY:
PROCEDURAL POSTURE: Plaintiff professional football player appealed from judgments of the United States
District Court for the Southern District of California entered in favor of defendant union on plaintiff's claim for breach
of the duty of fair representation and in favor of defendant attorneys on plaintiff's legal malpractice claim.
OVERVIEW: Plaintiff football player filed suit against defendant union for breach of the duty of fair representation,
alleging that defendant attorneys, who were staff counsel for defendant union, erroneously advised him to file the wrong
type of grievance and failed to rectify the error when there was an opportunity to do so. Plaintiff also claimed that
defendant attorneys committed malpractice. The trial court entered judgment for defendants. On appeal, the court
affirmed. The court found that defendant union did not act in an arbitrary, discriminatory, or bad faith manner and held
that mere negligence or an error in judgment was insufficient to impose liability for breach of the duty of fair
representation. The court affirmed the directed verdict in favor of defendant first attorney because a union attorney may
not be held liable in malpractice to an individual union member for acts performed as the union's agent in the collective
bargaining process. The court affirmed the summary judgment entered in favor of defendant second attorney. The trial
court lacked personal jurisdiction over him because his only contact with the forum state were phone calls and letters.
OUTCOME: The court affirmed the judgment in favor of defendant union because it did not breach its duty of fair
representation. The court affirmed the directed verdict in favor of defendant first attorney because he was not liable in
malpractice to plaintiff football player for acts he performed as the union's agent. The court affi.
121122, 1204 AM Activities - IDS-403-H7189 Technology and S.docxrobert345678
12/11/22, 12:04 AM Activities - IDS-403-H7189 Technology and Society 22EW2 - Southern New Hampshire University
https://learn.snhu.edu/d2l/common/dialogs/nonModal/blank.d2l?d2l_body_type=1&d2l_nonModalDialog_cb=d2l_cntl_68566de1f6094c60a65417448e14cb1f_1&d2l_nonModalDialog_cbwin=68566de1f6094c60a6541744… 1/5
IDS 403 Module Six Activity Rubric
Activity: 6-2 Activity: Reflection: Society
Course: IDS-403-H7189 Technology and Society 22EW2
Name: Jayee Johnson
Criteria Proficient Needs Improvement Not Evident Criterion Score
Reliable Evidence
from Varied Sources
30 / 30
Criterion Feedback
30 points
Integrates reliable
evidence from varied
sources throughout
the paper to support
analysis
22.5 points
Shows progress
toward proficiency,
but with errors or
omissions; areas for
improvement may
include drawing from
a diverse pool of
perspectives, using
more varied sources
to support the
analysis, or
integrating evidence
and sources
throughout the paper
to support the
analysis
0 points
Does not attempt
criterion
12/11/22, 12:04 AM Activities - IDS-403-H7189 Technology and Society 22EW2 - Southern New Hampshire University
https://learn.snhu.edu/d2l/common/dialogs/nonModal/blank.d2l?d2l_body_type=1&d2l_nonModalDialog_cb=d2l_cntl_68566de1f6094c60a65417448e14cb1f_1&d2l_nonModalDialog_cbwin=68566de1f6094c60a6541744… 2/5
Criteria Proficient Needs Improvement Not Evident Criterion Score
You did a good job in integrating evidence and support from outside sources.
Different General
Education Lens
22.5 / 30
Criterion Feedback
You needed to identify an alternative lens through which to view your specific technology. How would your analysis
of your identified technologyʼs role in your event have been different if viewed through this lens?
30 points
Explains at least one
way in which the
analysis might have
been different if
another general
education lens was
used to analyze the
technologyʼs role in
the event
22.5 points
Shows progress
toward proficiency,
but with errors or
omissions; areas for
improvement may
include connecting a
different lens to
technologyʼs role in
the event or
providing more
support of that
connection
0 points
Does not attempt
criterion
12/11/22, 12:04 AM Activities - IDS-403-H7189 Technology and Society 22EW2 - Southern New Hampshire University
https://learn.snhu.edu/d2l/common/dialogs/nonModal/blank.d2l?d2l_body_type=1&d2l_nonModalDialog_cb=d2l_cntl_68566de1f6094c60a65417448e14cb1f_1&d2l_nonModalDialog_cbwin=68566de1f6094c60a6541744… 3/5
Criteria Proficient Needs Improvement Not Evident Criterion Score
Interactions
30 / 30
Criterion Feedback
I thought that you did a really good job here in considering how your analysis of technology might impact your
interactions with those from other cultures or backgrounds.
30 points
Explains how
analyzing the
technologyʼs role in
the event can help
interactions with
those of a different
viewpoint, culture, or
perspectiv.
1. When drug prices increase at a faster rate than inflation, the .docxrobert345678
1. When drug prices increase at a faster rate than inflation, the groups of people that bear the burden of this increase are taxpayers and Medicare beneficiaries. Taxpayers are paying higher taxes as a result of increased government spending, and Medicare beneficiaries cannot keep up with the price of their prescriptions. When it comes to the factors in making a decision about increasing drug prices, I believe Big Pharma companies should act in a socially responsible manner, meaning they should base their decisions not solely on profit, and not solely on healthcare. There should be a balance, and new policies would be beneficial to help maintain that balance.
2. Lower-level employees have the responsibility to provide accurate information to management so that they can make the most informed decision. Lower-level employees also have the responsibility to not purposefully make material mistakes or purposefully not correct a known mistake.
3. Increased government spending will increase taxes for taxpayers and decrease available spending for other worthy issues. Taxpayers will essentially pay more in taxes and therefore have less income available. With drug prices rising faster than inflation, this will cause a widening gap between annual income and costs. Also, private health insurance costs will increase premiums and out of pocket costs for members. The stakeholders most directly impacted are the senior citizens that are dependent on their medication and can’t afford it or any other out of pocket costs because of the already wide gap between their income and expenses. I believe the government itself can be seen as a stakeholder as well because as they continue to increase Medicare funding, their deficit increases, causing them to take action to allocate resources effectively.
4. If the increase in price of existing drugs is preventing those who need those drugs from obtaining them, then to me it is hard to justify the increase based on R&D. There will always be a trade-off between affordable drugs and how quickly we can get new drugs. The government must devise a policy that improves Big Pharma companies’ incentive for affordability
and innovation.
5. Explain what you think each of the following statements means in the context of moral development.
. How far are you willing to go to do the right thing?
1. Stage 6 of moral development is about universal “self-chosen” ethical principles. This stage is about following your conscience even if it violates the law. In thinking of moral development, as time passes, one’s level of ethical reasoning advances and some issues may spark moral outrage that force a response.
. How much are you willing to give up to do what you believe is right?
1. This statement relates to moral development and how sometimes doing the right thing can have negative consequences. For example, an employee may notice a purposeful mistake by a manager. Let’s assume the employee is certain they will receiv.
1. Which of the following sentences describe a child functioning a.docxrobert345678
1. Which of the following sentences describe a child functioning at the metalinguistic level? Select all that apply.
a. When asked whether “cat” and “cow” start with the same sound, the child says, “meow” and “moo.”
b. When asked to supply two words that rhyme with “sheep,” the child says, “keep” and “leap.”
c. A child says, “Little Bo Peep has lost her sheep.”
d. When asked to identify the first sound in “cow,” the child says, “/k/”.
2. A child is asked what words rhyme with “moose” and says, “goose, loose, juice”; the child also supplies rhyming nonsense words like “woose, toose, foose.” About how old is this child, most likely?
a. 2–3 years old
b. 3–4 years old
c. 4–5 years old
d. 5–6 years old
3. Of the following tasks, which two are the most challenging?
a. Select the picture that does not belong from a set showing a cat, a bat, and a bird.
b. Select the two pictures that go together from a set showing a mouse, a house, and a blanket.
c. Name words that rhyme with “book” and tell whether each is a real or a nonsense word.
d. Tell whether the word “brush” rhymes with “drink” and whether “gold” rhymes with “hat.”
4. Of the following tasks, which is the most challenging?
a. Correctly answering the question, “Do ‘monkey’ and ‘mouse’ start with the same sound?”
b. Segmenting the phonemes in the words “d – o – t,” “d – r – i – p,” and “f – l – a – p.”
c. Segmenting and clapping the syllables in “moun – tain” and “dra – gon – fly.”
d. Blending the initial sound and rest of the word in “j – uice” and “c – ookie.”
5. Which of the following activities introduced in this session can be adapted to any linguistic level? Select all that apply.
a. “Which word weighs more?”
b. “Robot Reporting”
c. picture puzzles
d. “I Spy”
e. “bouncing” sounds
2
Stress and Behavioral Factors That Inhibit Work and Home Satisfaction
Isilena Lebron
Research Methods I PSY-530-MPOL1
Dr. Goldstien
11/27/22
Abstract
The purpose of this study is to explore stress and behavioral factors that impact work and life satisfaction among employees from diverse workforces. In this study, the goal is to identify stressors or behavioral factors through a survey to help find an intervention that can increase work-life satisfaction and job performance. The results help employers know which factors prevent employees from achieving home satisfaction in activities outside of work so that they improve work and life satisfaction for their employees. This also helps employees find a balance so they can do a better job at work and complete satisfying tasks at home.
Stress and Behavioral Factors That Inhibit Work and Home Satisfaction
For many employees, it can be tough to maintain a healthy balance between their work life and home life. The easiest way to discover a common factor that most employees may face is by conducting a quick survey about their difficulties at both locations. To create a work-life balance, interventions can be o.
1. How did the case study impact your thoughts about your own fina.docxrobert345678
1. How did the case study impact your thoughts about your own finances?
2. What were your thoughts and observations as you created your own balance sheet?
3. How might the balance sheet help you in future financial planning?
4. How close to reality do you think your estimated personal cash flow statement will be if you track your actual income and expenses for a month?
1. It gave me the desire to track my finances more closely and objectively. I liked how we can determine our net worth through some simple calculations and our inflows and outflows per month. Generally, I rely on simple finance apps like
Mint to track my finances. Currently, I do not create monthly budgets, but I now believe such action could be helpful.
2. I know that I have more assets than I am counting in the excel sheet. Therefore, my net worth is potentially higher. I also have a variety of streaming platforms.
I would benefit from switching from one platform to another month by month to save money. Streaming platforms are not a significant expense. Currently, my most considerable expense is transportation. Since gas prices are falling, this will help increase my surplus.
3. Accounting is math: it either works or doesn’t. Each can be traced from its inception (a sale, an expense, a money transfer) to the line on the financial statement. Since I don’t have much experience with financials, I try to seek out a mentor who is a family member. A balance sheet will ensure that I am not spending foolishly and ensure I am making appropriate purchases within the limits I set for myself. Proper planning will ensure I maximize my net worth.
4. It is important to consider cash flow when planning for the future
. It is important to save money every month in order to be able to make better financial decisions in the future. I hope to use some investing approaches for beginners to purchase funds without getting into debt. Most people underestimate how much they truly spend in a month. Therefore, I am underestimating how much I spend as well. I eat out quite a bit with friends and family, so my restaurant bill for the holidays might be higher than anticipated.
Foreign Policy Association
China and America
Author(s): David M. Lampton
Source: Great Decisions , 2018, (2018), pp. 35-46
Published by: Foreign Policy Association
Stable URL: https://www.jstor.org/stable/10.2307/26593695
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide
range of content in a trusted digital archive. We use information technology and tools to increase productivity and
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Foreign Policy Association is collaborating with JSTOR to digitize, preserve.
1 The Biography of Langston Hughes .docxrobert345678
1
The Biography of Langston Hughes
Yanai Gonzalez
Ana G Mendez
November 17, 2022
The Biography of Langston Hughes
THE BIOGRAPHY OF LANGSTON HUGHES
2
On February 1, 1901, James Mercer Langston Hughes was born. He was born in
Joplin, Missouri, to James and Caroline Hughes, into a family of enslaved people and
enslavers (Leach, 2004). His father departed from the family, later divorcing their family,
forcing Langston's mother to move to Lawrence, Kansas, with his maternal grandmother. It
was from the latter that Langston learned about African American traditions, installing an
enormous sense of pride into the young man (Hughes et al., 2001). This greatly influenced his
writing, as evidenced by poems such as Mother to Son. He would then go on to join
Columbia University to study engineering, where he would write poetry for the Columbia
Daily Spectator. As a result of racial discrimination, he finally left the school and resided in
Harlem, where he was engulfed by the vibrant feeling of life (Leach, 2004).
Langston began cruising as a crewman aboard the S.S. Malone in 1923, after doing a
few odd jobs. He subsequently took his first white-collar job as Carter G. Woodson's assistant
at the Association for the Study of African American Life and History, a historian. He'd then
leave his work since it didn't enable him to write. He would later work as a busboy. He got
his big writing break when he met Vachel Lindsay, a famous poet of the time, with whom
Langston shared his poetry (Leach, 2004). Lindsay was heavily impressed and helped
Langston reach the big stage. Langston then went on to earn a Bachelor of Arts degree from
Lincoln University.
Langston began his literary career in 1921 by publishing The Crisis in the National
Association for the Advancement of Colored People magazine (Leach, 2004). The poem
Mother to Son was in this book and would go on to get much acclaim. He would go on to
release The Weary Blues along with other novels, short stories, and poems (Hughes et al.,
2001). He participated heavily in the Harlem Renaissance. Langston would pass away on
May 22, 1967, from surgery complications while being treated for prostate cancer.
Mother To Son by Langston Hughes
THE BIOGRAPHY OF LANGSTON HUGHES
3
Well, son, I’ll tell you:
Life for me ain’t been no crystal stair.
It’s had tacks in it,
And splinters,
And boards torn up,
And places with no carpet on the floor—
Bare.
But all the time
I’se been a-climbin’ on,
And reachin’ landin’s,
And turnin’ corners,
And sometimes goin’ in the dark
Where there ain’t been no light.
So boy, don’t you turn back.
Don’t you set down on the steps
’Cause you finds it’s kinder hard.
Don’t you fall now—
For I’se still goin’, honey,
I’se still climbin’,
And life for me ain’t been no crystal stair.
References
THE BIOGRAPHY OF LANGSTON HUGHES
4
Hughes, L., Hubbard, .
1 Save Our Doughmocracy A Moophoric Voter Registratio.docxrobert345678
1
Save Our Doughmocracy: A
Moophoric Voter Registration
& Ice Cream Social Event
Rebecca Rippon
2
Table of Contents
I. Executive Summary………………………………………………………..3
II. Introduction………………………………………………………………...5
III. Goals……………………………………………………………………….6
IV. Strategy…………………………………………………………………….7
V. SWOT Analysis…………………………………………………………....8
VI. Five Ws…………………………………………………………………...11
VII. Six Ps……………………………………………………………………..13
VIII. Stakeholders………………………………………………………............16
IX. Digital Strategy…………………………………………………………...17
X. Earned Media……………………………………………………………..19
XI. Timeline…………………………………………………………………..21
XII. Budget………………………………………………………………….....21
XIII. References………………………………………………………………...23
XIV. Appendices………………………………………………………………..25
3
Executive Summary
The proposed event, titled “Save Our Doughmocracy: A Moophoric Voter Registration
and Ice Cream Social Event” is intended to support the voter registration movement for the 2020
election. Since this event has already happened, the proposal is written theoretically as though
the event date has not yet passed, or in the future tense of what “will” occur. The event will be
hosted by the ice cream brand Ben & Jerry’s on behalf of the Democratic National Committee. It
will serve as an opportunity for attendees to register to vote, connect with Democratic candidates
for the upcoming election, and exclusively sample a new flavor of Ben & Jerry’s ice cream that
is being created specifically for the event. Ben & Jerry’s is an extremely popular brand, loved for
its specialty ice cream and involvement in important social causes. The brand uses its platform to
advocate for numerous movements that its founders and employees support. The goal of this
event is to reestablish election integrity and uphold the values that comprise democracy. Many
people are discriminated against by outdated and unlawful voter registration laws, making it
extremely difficult for certain groups to vote or discouraging them from doing so altogether. The
proposed event aims to aid these groups in their voter registration process in a relaxed, helpful,
and fun way.
Similar events include political candidate rallies, voter registration events, and ice cream
or dessert experiential events. Although these types of events have some overlap with “Save Our
Doughmocracy,” none of them are exactly the same in the way that we combine all of these
events into one, which gives us a competitive advantage. Marketing strategies and promotions
will emphasize this key differentiator to attract people to our event over others. The event’s
strengths include customer loyalty to Ben & Jerry’s, a centralized event location, appeal through
its exclusivity, and a well-established platform for promotion, while weaknesses include
potential controversy due to the Democratic National Committee’s involvement and competing
Ben & Jerry’s locations. The key opportu.
1 MINISTRY OF EDUCATION UNIVERSITY OF HAIL .docxrobert345678
1
MINISTRY OF EDUCATION
UNIVERSITY OF HAIL
COLLEGE OF ENGINEERING
كلية الهندسة
College of Engineering
Research Proposal Template
Please structure your Research Proposal based on the headings provided below, use a clear and legible font
and observe the page/word limit.
Research Project Title:
Motor Vehicle Safety Defects and Recall System: An Empirical Study in Saudi Arabia
Student Details:
Student Name
Student ID
Email Address
Date of Submission
Research Project
Serial No.
Supervisor Name Supervisor Signature Start Date
Only for College Officials Use
College Approval
Master of Quality Engineering and Management
Research Proposal
2
Master of Quality Engineering and Management 2020-2021
كلية الهندسة
College of Engineering
1- Research Title
Provide a short descriptive title of your proposed research (max. 20 words)
Motor Vehicle Safety Defects and Recall System: An Empirical Study in Saudi Arabia
2- Research Summary
Summarize the aims, significance and expected outcomes of your proposed research (max. 250 words).
It is to set the mechanism for recalling vehicles with manufacturing defects that affect in
one way or another the safety of vehicles and their users, and this is done by linking a
unified system in which the defective vehicle data is added and called in the system to
the maintenance centers of the concerned vehicle agencies. Workmanship defects are
classified as: (1) Basic defects, which are considered to have a serious and direct impact
on the safety of the vehicle and its users, and the inspection process cannot be passed
until after the defect is fixed. (2) Warning defects, which are considered a defect in the
product, but the effect of the defect does not threaten the safety of the vehicle and its
users pass the examination process and the defect is added as a warning only.
This research proposal aims to find the most effective way to reach every defected
vehicle and the effective way to deal with the vehicle owner to do the necessary changes
especially if it's related to safety in a systematic way. The purpose of the project is to
develop a new business model that was never used everywhere in the world and Saudi
Arabia will take the lead to publish this model to the rest of the world. Ensuring that the
practice will be used is the most effective practise as enabling to force the defected car
owner to have their vehicles fixed and the defected was solved.
Master of Quality Engineering and Management
Research Proposal
3
Master of Quality Engineering and Management 2020-2021
كلية الهندسة
College of Engineering
3- Introduction
This section should provide a description of the basic facts and importance of the research area - What is the research
area, the motivation of research, and how important is it for the industry practice/knowledge advancement? (max. 200 .
1
Assessment Brief
Module Code
Module Name Managing Operations and the Supply Chain
Level
7
Module Leader Andrew Gough
Module Code
BSOM046
Assessment title:
AS1: The Future of Work
Weighting: 40%
Submission dates:
13 December 2022, please see NILE (Northampton Integrated
Learning Environment) under Assessment Information
Feedback and Grades
due:
12 January 2023
Please read the whole assessment brief before starting work on the Assessment Task.
The Assessment Task
You will conduct a review of the literature to identify the origins of the concept of the
Technological Unemployment and to chart its development up to the present day.
Following your review, you are to critically evaluate the impact of Technological
Unemployment on a company of your choice.
You will be expected to illustrate your discussion with examples from the trade press
and other authoritative sources.
The word count limit for this assessment is 1800 words (+/- 10%). In line with normal
practice, tables, figures, references and appendices are excluded from this word count.
Pawanrat Meepian
Pawanrat Meepian
2
Assessment Breakdown
1. Establish the scenario for your report by selecting an organisation of any type, sector and
size to focus your report on. Describe:
a) Which organisation is it? (type, sector and size)
b) What are the main products and/or services provided by the organisation?
c) Who are the main customers?
(10% of word count)
2. Prepare a literature review, charting the development of the concept of Technological
Unemployment from its inception until the present day.
Ensure that you include references to at least 10 peer-reviewed articles, including the 2017
paper by Frey and Osborne that has been supplied. You may also find relevant reviews in
the trade press and from other authoritative sources.
(45% of word count)
3. Apply Frey and Osborne’s findings (Appendix A) in the context of your chosen company.
Consider a low impact scenario, when only jobs at high risk (> 70%) are replaced
by technology. How does Frey and Osborne’s study suggest that the company will change?
Compare the predictions implied by Frey and Osborne’s study with the recent work by
Cords and Prettner (2022).
In your view, is Technological Unemployment a net benefit to society?
(45% of word count)
Learning Outcomes
On successful completion of this assessment, you will be able to:
a) Recognise, analyse and critically reflect on key concepts, managerial frameworks
and techniques available to operations managers.
b) Demonstrate conceptual and practical understanding of the opportunities and
constraints that organisational characteristics place on operations managers and on
operational decision making in the supply chain context.
f) Demonstrate ability to relate theory to practice and to identify and proactively
anticipate broader implications for.
1 (Slip Opinion) OCTOBER TERM, 2021
Syllabus
NOTE: Where it is feasible, a syllabus (headnote) will be released, as is
being done in connection with this case, at the time the opinion is issued.
The syllabus constitutes no part of the opinion of the Court but has been
prepared by the Reporter of Decisions for the convenience of the reader.
See United States v. Detroit Timber & Lumber Co., 200 U. S. 321, 337.
SUPREME COURT OF THE UNITED STATES
Syllabus
CARSON, AS PARENT AND NEXT FRIEND OF O. C., ET AL. v.
MAKIN
CERTIORARI TO THE UNITED STATES COURT OF APPEALS FOR
THE FIRST CIRCUIT
No. 20–1088. Argued December 8, 2021—Decided June 21, 2022
Maine has enacted a program of tuition assistance for parents who live
in school districts that neither operate a secondary school of their own
nor contract with a particular school in another district. Under that
program, parents designate the secondary school they would like their
child to attend, and the school district transmits payments to that
school to help defray the costs of tuition. Participating private schools
must meet certain requirements to be eligible to receive tuition pay-
ments, including either accreditation from the New England Associa-
tion of Schools and Colleges (NEASC) or approval from the Maine De-
partment of Education. But they may otherwise differ from Maine
public schools in various ways. Since 1981, however, Maine has lim-
ited tuition assistance payments to “nonsectarian” schools.
Petitioners sought tuition assistance to send their children to Ban-
gor Christian Schools (BCS) and Temple Academy. Although both
BCS and Temple Academy are accredited by NEASC, the schools do
not qualify as “nonsectarian” and are thus ineligible to receive tuition
payments under Maine’s tuition assistance program. Petitioners sued
the commissioner of the Maine Department of Education, alleging that
the “nonsectarian” requirement violated the Free Exercise Clause and
the Establishment Clause of the First Amendment, as well as the
Equal Protection Clause of the Fourteenth Amendment. The District
Court rejected petitioners’ constitutional claims and granted judgment
to the commissioner. The First Circuit affirmed.
Held: Maine’s “nonsectarian” requirement for otherwise generally avail-
able tuition assistance payments violates the Free Exercise Clause.
Pp. 6–18.
(a) The Free Exercise Clause of the First Amendment protects
2 CARSON v. MAKIN
Syllabus
against “indirect coercion or penalties on the free exercise of religion,
not just outright prohibitions.” Lyng v. Northwest Indian Cemetery
Protective Assn., 485 U. S. 439, 450. The Court recently applied this
principle in the context of two state efforts to withhold otherwise avail-
able public benefits from religious organizations. In Trinity Lutheran
Church of Columbia, Inc. v. Comer, 582 U. S. ___, the Court considered
a Missouri program that offered grants to qualifying nonpr.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
1NOTE This is a template to help you format Project Part .docx
1. 1
NOTE: This is a template to help you format Project Part A. I
have put some explanations in red. Please delete these before
submitting the assignment. All text in your submission should
be black.
NOTE: This assignment has been changed from what is in the
Canvas shell. You are to analyze only two variables instead of
3; and only 2 pairings instead of 3.
ALSO YOU MUST USE THE VARIABLES SPECIFIED IN
THIS TEMPLATE.
Project Part A: Descriptive Statistics
By
Put your name here
MATH534 – Applied Managerial Statistics
Prof. Bhupinder Sran
Keller Graduate School of Management
Put date of submission here
1. Introduction
Provide the purpose of this report and an overview of its
content. About 2-4 sentences.
2. Variable Name: SALES
2.1 Numerical analysis
2. Use the table below to display the main statistics. You can add
more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
2.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A
histogram, stem and leaf diagram or frequency distribution are
good options here. However, you may select your own type.
Please don’t put a narrative here.
2.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings
of the analysis of this variable.
Don’t just restate the numbers. Try to explain how
these findings might be useful for management or the
organization.
3. Variable Name: CALLS
3.1 Numerical analysis
Use the table below to display the main statistics. You can add
more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
3. Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
3.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A
histogram, stem and leaf diagram or frequency distribution are
good options here. However, you may select your own type.
Please don’t put a narrative here.
3.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings
of the analysis of this variable.
Don’t just restate the numbers. Try to explain how
these findings might be useful for management or the
organization.
4. Variable Pairing: SALES vs CALLS
4.1 Graphical Analysis
Since SALES and CALLS are both numeric, create a scatter plot
and place it here.
Please don’t put a narrative here.
4.2 Analysis
Provide a 3-5 sentence analysis pointing out some main findings
of the analysis of the relationship between the variables.
5. Variable Pairing: SALES and TYPE
4. 5.1 Graphical Analysis
Display a graph showing the relationship between the two
variables. TYPE is not a numeric variable, so you can’t use a
scatter plot. Consider using something that displays the average
sales for each type of training.
Please don’t put a narrative here.
5.2 Analysis
Provide a 3-5 sentence analysis pointing out some main findings
of the analysis of the relationship between the variables.
6. Summary
1-2 paragraph summary of your main findings/conclusions.
1
3
NOTE: This is a template to help you format Project Part B. I
have put some explanations in red. Please delete these before
submitting the assignment. All text in your submission should
be black.
Project Part B: Hypothesis Testing
By
Put your name here
MATH534 – Applied Managerial Statistics
Prof. Bhupinder Sran
Keller Graduate School of Management
5. Put date of submission here
1. Introduction
Provide the purpose of this report and an overview of its
content.
NOTE FOR SECTIONS 2, 3, 4:
· In these three sections, you will test three hypotheses.
· The row labeled “Hypothesis statement” shows the claim
being made.
· Reviewing the Worksheet problems in Week 5 lecture notes
(in FILES SECTION) and viewing the recordings (under
DEVRY WEBEX) should help you in filling out the items for
hypothesis tests in the table. Use of these resources is
STRONGLY recommended.
· Using the Excel calculators for weeks 4 and 5 will help you
come up with the numbers you need.2. Hypothesis Test 1: Mean
Sales per Week
Hypothesis statement
Mean sales per week exceeds 42.5 per salesperson
Null and alternate hypotheses
Ho: Write the null hypothesis here
Ha: Write the alternate hypothesis here
Use z or t?
Select z or t and explain your selection.
Test statistic
Give value of the test statistic
p-value
Give value of the p-value
Hypothesis test result using p-value and alpha
Result of test: Reject Ho or Don’t Reject Ho – pick one of
these.
6. Explanation: Explain your reason for the result above. Example
of what the answer should look like: “Since p-value (.0327) is
less than alpha (.05), we can reject Ho.”
NOTE: For all hypothesis tests, use alpha=0.05
Do the results support the claim being made?
Will we support the claim or not support the claim? Yes or No
Explanation. Starting with the result of the hypothesis test,
show how you came up with the conclusion to support or not
support the claim. Please see my lecture notes for ideas on how
to word this.
Example of what the answer should look like: “Since we are
rejecting Ho, we have support for Ha, which is the martian’s
claim. Therefore, we can support the martian’s claim their
average height is more than 24 inches”.
99% Confidence Interval for the mean
Give the 99% confidence interval for the mean of the variable
being tested above.
Screenshot of the Week 5 Calculator
(put a screen shot of the Week 5 calculator showing the input
and results for this problem)
Screenshot of the Week 4 Calculator
(put a screen shot of the Week 4 calculator showing the input
and results for this problem)
3.
Hypothesis Test 2: Proportion of Online Training
Hypothesis statement
7. Proportion receiving online training is less than 55%
Null and alternate hypotheses
Ho: Write the null hypothesis here
Ha: Write the alternate hypothesis here
Use z or t?
Select z or t and explain your selection.
Test statistic
Give value of the test statistic
p-value
Give value of the p-value
Hypothesis test result using p-value and alpha
Result of test: Reject Ho or Don’t Reject Ho – pick one of
these.
Explanation: Explain your reason for the result above. Example
of what the answer should look like: “Since p-value (.0327) is
less than alpha (.05), we can reject Ho.”
NOTE: For all hypothesis tests, use alpha=0.05
Do the results support the claim being made?
Will we support the claim or not support the claim? Yes or No
Explanation. Starting with the result of the hypothesis test,
show how you came up with the conclusion to support or not
support the claim. Please see my lecture notes for ideas on how
to word this.
Example of what the answer should look like: “Since we are
rejecting Ho, we have support for Ha, which is the martian’s
claim. Therefore, we can support the martian’s claim the
percentage of martians that are orange is more than 33%.”.
99% Confidence Interval for the proportion
Give the 99% confidence interval for proportion receiving
online training.
8. Screenshot of the Week 5 Calculator
(put a screen shot of the Week 5 calculator showing the input
and results for this problem)
Screenshot of the Week 4 Calculator
(put a screen shot of the Week 4 calculator showing the input
and results for this problem)
4. Hypothesis Test 3: Mean Calls
Hypothesis statement
Mean calls made among those with no training is at least 145.
(NOTE: In this case we are only looking at salespeople who had
no training.)
Null and alternate hypotheses
Ho: Write the null hypothesis here
Ha: Write the alternate hypothesis here
Use z or t?
Select z or t and explain your selection.
Test statistic
Give value of the test statistic
p-value
Give value of the p-value
Hypothesis test result using p-value and alpha
Result of test: Reject Ho or Don’t Reject Ho – pick one of
these.
Explanation: Explain your reason for the result above. Example
of what the answer should look like: “Since p-value (.0327) is
less than alpha (.05), we can reject Ho.”
NOTE: For all hypothesis tests, use alpha=0.05
Do the results support the claim being made?
Will we support the claim or not support the claim? Yes or No
9. Explanation. Starting with the result of the hypothesis test,
show how you came up with the conclusion to support or not
support the claim. Please see my lecture notes for ideas on how
to word this.
Example of what the answer should look like: “Since we are
rejecting Ho, we have support for Ha, which is the martian’s
claim. Therefore, we can support the martian’s claim their
average height is more than 24 inches”.
99% Confidence Interval for the mean
Give the 99% confidence interval for proportion receiving
online training.
Screenshot of the Week 5 Calculator
(put a screen shot of the Week 5 calculator showing the input
and results for this problem)
Screenshot of the Week 4 Calculator
(put a screen shot of the Week 4 calculator showing the input
and results for this problem)
5. Summary
1-2 paragraph summary of your findings. Don’t just restate
technical details. State what we found out (i.e. end results) and
what implications it has for the management.
3
Sheet1Sales (Y)Calls (X1)Time (X2)Years
(X3)Type2111619.93NONE2111618.02GROUP3111819.44ONL
INE3312516.92ONLINE3212918.52GROUP2913114.61GROUP
3313110.00GROUP4213119.45GROUP4013218.51GROUP3313
515.32GROUP3313616.94ONLINE4113619.33ONLINE4513715
.71GROUP4213912.41GROUP3314017.52GROUP4114013.93N
11. Project Part C: Regression Analysis
By
Put your name here
MATH533 – Applied Managerial Statistics
Prof. Bhupinder Sran
Keller Graduate School of Management
Put the location of your campus here
Put date of submission here
1. Introduction
Provide the purpose of this report and an overview of its content
(about 1 paragraph).
2. Regression Analysis Results
This section presents a statistical summary of the regression
analysis using the following variables:
· Dependent variable: SALES (everyone must select this
variable)
· Independent variable: CALLS (everyone must select this
variable)
Use the table below to answer the questions in the COURSE
PROJECT OVERVIEW page in the shell.
If there is a difference in the way the questions are
presented in the table and in the COURSE PROJECT
OVERVIEW, please answer the questions as they are presented
in the table below.
To get the numbers for the table below, use the Week 6 Excel
spreadsheet calculator in the shell. To get an understanding of
the interpretations, please see the
Week 6 lecture notes and videos.
12. 1. Scatter Plot
Use Excel OR another software package to create a scatter plot.
Copy and paste the scatter plot. Make sure the dependent
variable is on the Y-axis and the independent variable is on the
X-axis. The axis should show the names of the variables.
2. Regression Equation
Put the regression equation here.
3. Coefficient of Correlation
Give the value of the coefficient of coefficient. Explain the
type and strength of the correlation.
4. Coefficient of Determination
Give the value of the coefficient of determination. Interpret its
value.
5. Results of the Hypothesis Test for Ho: B1 = 0 Ha: B1 ≠ 0
p-value: put the p-value
Result of test: Will you reject or not reject Ho. Explain how
you reached your conclusion.
NOTE: For the hypothesis test use significance level of .05.
6. Interpretation of the result of the hypothesis test above
Is the regression model (regression equation) significant in
13. predicting the dependent variable? Explain your answer based
on whether or not you rejected Ho in #5 above.
7. 95% confidence interval for B1
Give 95% confidence interval for B1 (slope)
8. A. How many sales can we expect (estimate) for a sales
person who made 140 calls?
B. What is the 99% confidence interval for the number sales
estimated above?
C. What is the 99% prediction interval for the number sales
made above?
Estimated number of sales for someone who made 140 calls:
What will the estimated/predicted sales for someone who made
140 calls?
Confidence interval for estimated amount of sales: What is the
99% confidence interval for the estimate/prediction above?
Prediction interval for estimated sales: What is the 99%
prediction interval for the estimate/prediction above?
3. Summary
Identify and describe TWO business decisions that could be
made based on the results of this analysis. In other words, how
might the business operations change based on these statistical
results. Write one paragraph for each decision. Incorporate the
results of your findings from section 2, but do not use technical
jargon – use plain business language.
4