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Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average str ...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average stress score of students in online universities is 13.15.Using Microsoft Excel, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students.Move your output into a Microsoft Word document.Write one paragraph to explain how you located and determined the critical value of t, and how you determined whether your obtained t-statistic was significant.Write a 1-paragraph, APA-formatted interpretation of the results modeled on the example given in your lecture.Part 2For this assignment, use data from W1 Project.This week, you will first look to see whether the type of information participants were given, whether consistent or inconsistent with what they viewed in the video, has a bearing on confidence. You will next explore the hypothesis that memory may decay over time.1. Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.2. Choose and calculate the appropriate t-test to compare Recall 1 with Recall 3.a. Move your output into a Microsoft Word document and write an interpretation of your tested following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.Do not take this question if you are not good with excel or statistics!!!!
4 pages
Linear programming
Blair & Rosen, Inc. (B&R) is a brokerage firm that specializes in investment portfolios designed to meet the specific risk ...
Linear programming
Blair & Rosen, Inc. (B&R) is a brokerage firm that specializes in investment portfolios designed to meet the specific risk tolerances of its clients. A client who contacted B&R this past week has a maximum of $50,000 to invest. B&R’s investment advisor decides to recommend a portfolio consisting of two investment funds: an Internet fund and a Blue Chip fund. The Internet fund has a projected annual return of 12 percent, and the Blue Chip fund has a projected annual return of 9 percent. The investment adviser requires that at most $35,000 of the client’s funds should be invested in the Internet fund. B&R services include a risk rating for each investment alternative. The Internet fund, which is the more risky of the two investment alternatives, has a risk rating of 6 per $1,000 invested. The Blue Chip fund has a risk rating of 4 per $1,000 invested.
a. Formulate a linear programming model to find the best investment strategy for this client.
5 pages
20200927085519lab Work Week 6 1
2. In a space bar there were 14 storm troopers, 3 Wookies, 9 humans, and 2 musicians. An android enters, fires a shot, and ...
20200927085519lab Work Week 6 1
2. In a space bar there were 14 storm troopers, 3 Wookies, 9 humans, and 2 musicians. An android enters, fires a shot, and hits someone in the cheek. ...
logistic regression and odds ratio, Statistics Assignment Homework Help
Suppose we have data from a health survey conducted in year
2010. Data were obtained from a random sample of 2342 perso ...
logistic regression and odds ratio, Statistics Assignment Homework Help
Suppose we have data from a health survey conducted in year
2010. Data were obtained from a random sample of 2342 persons.
A dichotomous logistic regression analysis was conducted in
the following way:
Dependent Variable (Y): Self-reported general health (1 if
not healthy, 0 if healthy)
Independent Variables: Gender (1 if female, 0 if male)
Age (in years)
Race/Ethnicity (binary variables
for “Non-Hispanic Black” “Hispanic” and “Others”; the reference category is
“Non-Hispanic White”)
Form of the equation: where p is the probability of being
self-reportedly unhealthy and Xj’s
(j=1, 2, …, k) are independent variables. Age range of the sample: 25-84. The log(p/(1-p))
is also called log odds. (Note, the
logarithm we used in the class is natural log. If you use EXCEL, make sure to
use the ln() function instead of the log() function).
The computer output is given below. The column labeled
“Beta” shows estimated regression coefficients, i.e., α and β’s in the above
equation. (It can be interpreted that beta’s for the reference categories,
“Male” and “Non-Hispanic White”, are fixed to be zero.)
Variables
Beta
P-value
Exp(beta)
intercept
-3.184
<0.001
0.041
Gender (Female)
0.050
0.538
1.051
Age
0.026
<0.001
1.026
Race/Ethnicity
Non-Hispanic Black
0.806
<0.001
2.240
Hispanic
1.314
<0.001
3.722
Others
0.423
0.070
1.527
N=2342.
1-1. Suppose that the data set includes a 30-year old
Hispanic man.
What is his log odds of being self-reportedly unhealthy according to this
regression equation?
1-2. What are his odds of being self-reportedly unhealthy according to this
regression equation?
1-3. What is the probability for him to be self-reportedly unhealthy, according to
this regression equation?
1-4. The above table shows that exp(beta) for
“Hispanic” is 3.722 ( = exp(1.314) ).
What does this number mean? (Hint: Note that the reference category for Race/Ethnicity
is “Non-Hispanic White”.)
1-5. The above table shows that exp(beta) for “Age”
is 1.026 ( = exp(0.026) ). What does this number mean?
1-6. Let us consider the odds (or log odds) of being self reportedly unhealthy
for Non-Hispanic White, adjusted for gender and age, and that for Non-Hispanic
Black. Are they statistically significantly different at the 0.05 level by the
two-sided test? Why or why not?
Classification of Higher Education Research Activities Question
Research Classification of Higher Education. The Carnegie Classification of Institutes of Higher Education categorizes col ...
Classification of Higher Education Research Activities Question
Research Classification of Higher Education. The Carnegie Classification of Institutes of Higher Education categorizes colleges and universities on the basis of their research and degree-granting activities. Universities that grant doctoral degrees are placed into one of three classifications: moderate research activity, higher research activity, or highest research activity. The Carnegie classifications for public and not-for-profit private doctoral degree-granting universities are summarized in the following table. Test the hypothesis that the population proportions of public universities are equal in each Carnegie classification category. Use a .05 level of significance. What is the p-value and what is your conclusion?Generational Differences in Workplace Attitudes. In 2015, Addison Group (a provider of professional staffing services) and Kelton (a global insights firm) surveyed the work preferences and attitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials (Society for Human Resource Management website). In one question, individuals were asked if they would leave their current job to make more money at another job. The file Millenials contains the sample data, which are also summarized in the following table. Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. What is the p-value? Using a .05 level of significance, what is your conclusion?M&M Candy Colors. Mars, Inc. manufactures M&M’s, one of the most popular candy treats in the world. The milk chocolate candies come in a variety of colors including blue, brown, green, orange, red, and yellow. The overall proportions for the colors are .24 blue, .13 brown, .20 green, .16 orange, .13 red, and .14 yellow. In a sampling study, several bags of M&M milk chocolates were opened and the following color counts were obtained. Use a .05 level of significance and the sample data to test the hypothesis that the overall proportions for the colors are as stated above. What is your conclusion?
MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand international ...
MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/cost-...In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment.What is an Executive Summary https://www.surveygizmo.com/resources/blog/how-to-...To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential? What city or cities fall above or below the median and/or the mean? What city or cities are in the upper 3rd quartile? Or the bottom quartile? These are some things to consider not necessarily questions you need to answer in your Executive Summary. But they are questions to help guide you along in your analysis.
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Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average str ...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average stress score of students in online universities is 13.15.Using Microsoft Excel, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students.Move your output into a Microsoft Word document.Write one paragraph to explain how you located and determined the critical value of t, and how you determined whether your obtained t-statistic was significant.Write a 1-paragraph, APA-formatted interpretation of the results modeled on the example given in your lecture.Part 2For this assignment, use data from W1 Project.This week, you will first look to see whether the type of information participants were given, whether consistent or inconsistent with what they viewed in the video, has a bearing on confidence. You will next explore the hypothesis that memory may decay over time.1. Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.2. Choose and calculate the appropriate t-test to compare Recall 1 with Recall 3.a. Move your output into a Microsoft Word document and write an interpretation of your tested following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.Do not take this question if you are not good with excel or statistics!!!!
4 pages
Linear programming
Blair & Rosen, Inc. (B&R) is a brokerage firm that specializes in investment portfolios designed to meet the specific risk ...
Linear programming
Blair & Rosen, Inc. (B&R) is a brokerage firm that specializes in investment portfolios designed to meet the specific risk tolerances of its clients. A client who contacted B&R this past week has a maximum of $50,000 to invest. B&R’s investment advisor decides to recommend a portfolio consisting of two investment funds: an Internet fund and a Blue Chip fund. The Internet fund has a projected annual return of 12 percent, and the Blue Chip fund has a projected annual return of 9 percent. The investment adviser requires that at most $35,000 of the client’s funds should be invested in the Internet fund. B&R services include a risk rating for each investment alternative. The Internet fund, which is the more risky of the two investment alternatives, has a risk rating of 6 per $1,000 invested. The Blue Chip fund has a risk rating of 4 per $1,000 invested.
a. Formulate a linear programming model to find the best investment strategy for this client.
5 pages
20200927085519lab Work Week 6 1
2. In a space bar there were 14 storm troopers, 3 Wookies, 9 humans, and 2 musicians. An android enters, fires a shot, and ...
20200927085519lab Work Week 6 1
2. In a space bar there were 14 storm troopers, 3 Wookies, 9 humans, and 2 musicians. An android enters, fires a shot, and hits someone in the cheek. ...
logistic regression and odds ratio, Statistics Assignment Homework Help
Suppose we have data from a health survey conducted in year
2010. Data were obtained from a random sample of 2342 perso ...
logistic regression and odds ratio, Statistics Assignment Homework Help
Suppose we have data from a health survey conducted in year
2010. Data were obtained from a random sample of 2342 persons.
A dichotomous logistic regression analysis was conducted in
the following way:
Dependent Variable (Y): Self-reported general health (1 if
not healthy, 0 if healthy)
Independent Variables: Gender (1 if female, 0 if male)
Age (in years)
Race/Ethnicity (binary variables
for “Non-Hispanic Black” “Hispanic” and “Others”; the reference category is
“Non-Hispanic White”)
Form of the equation: where p is the probability of being
self-reportedly unhealthy and Xj’s
(j=1, 2, …, k) are independent variables. Age range of the sample: 25-84. The log(p/(1-p))
is also called log odds. (Note, the
logarithm we used in the class is natural log. If you use EXCEL, make sure to
use the ln() function instead of the log() function).
The computer output is given below. The column labeled
“Beta” shows estimated regression coefficients, i.e., α and β’s in the above
equation. (It can be interpreted that beta’s for the reference categories,
“Male” and “Non-Hispanic White”, are fixed to be zero.)
Variables
Beta
P-value
Exp(beta)
intercept
-3.184
<0.001
0.041
Gender (Female)
0.050
0.538
1.051
Age
0.026
<0.001
1.026
Race/Ethnicity
Non-Hispanic Black
0.806
<0.001
2.240
Hispanic
1.314
<0.001
3.722
Others
0.423
0.070
1.527
N=2342.
1-1. Suppose that the data set includes a 30-year old
Hispanic man.
What is his log odds of being self-reportedly unhealthy according to this
regression equation?
1-2. What are his odds of being self-reportedly unhealthy according to this
regression equation?
1-3. What is the probability for him to be self-reportedly unhealthy, according to
this regression equation?
1-4. The above table shows that exp(beta) for
“Hispanic” is 3.722 ( = exp(1.314) ).
What does this number mean? (Hint: Note that the reference category for Race/Ethnicity
is “Non-Hispanic White”.)
1-5. The above table shows that exp(beta) for “Age”
is 1.026 ( = exp(0.026) ). What does this number mean?
1-6. Let us consider the odds (or log odds) of being self reportedly unhealthy
for Non-Hispanic White, adjusted for gender and age, and that for Non-Hispanic
Black. Are they statistically significantly different at the 0.05 level by the
two-sided test? Why or why not?
Classification of Higher Education Research Activities Question
Research Classification of Higher Education. The Carnegie Classification of Institutes of Higher Education categorizes col ...
Classification of Higher Education Research Activities Question
Research Classification of Higher Education. The Carnegie Classification of Institutes of Higher Education categorizes colleges and universities on the basis of their research and degree-granting activities. Universities that grant doctoral degrees are placed into one of three classifications: moderate research activity, higher research activity, or highest research activity. The Carnegie classifications for public and not-for-profit private doctoral degree-granting universities are summarized in the following table. Test the hypothesis that the population proportions of public universities are equal in each Carnegie classification category. Use a .05 level of significance. What is the p-value and what is your conclusion?Generational Differences in Workplace Attitudes. In 2015, Addison Group (a provider of professional staffing services) and Kelton (a global insights firm) surveyed the work preferences and attitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials (Society for Human Resource Management website). In one question, individuals were asked if they would leave their current job to make more money at another job. The file Millenials contains the sample data, which are also summarized in the following table. Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. What is the p-value? Using a .05 level of significance, what is your conclusion?M&M Candy Colors. Mars, Inc. manufactures M&M’s, one of the most popular candy treats in the world. The milk chocolate candies come in a variety of colors including blue, brown, green, orange, red, and yellow. The overall proportions for the colors are .24 blue, .13 brown, .20 green, .16 orange, .13 red, and .14 yellow. In a sampling study, several bags of M&M milk chocolates were opened and the following color counts were obtained. Use a .05 level of significance and the sample data to test the hypothesis that the overall proportions for the colors are as stated above. What is your conclusion?
MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand international ...
MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/cost-...In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment.What is an Executive Summary https://www.surveygizmo.com/resources/blog/how-to-...To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential? What city or cities fall above or below the median and/or the mean? What city or cities are in the upper 3rd quartile? Or the bottom quartile? These are some things to consider not necessarily questions you need to answer in your Executive Summary. But they are questions to help guide you along in your analysis.
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