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MA215 Grantham University Week 8 Return on Investment Final Project
Final Project Week 8Write a minimum 4 page report (Four pages is about 1000 words - meet the 1000 word goal, especially if ...
MA215 Grantham University Week 8 Return on Investment Final Project
Final Project Week 8Write a minimum 4 page report (Four pages is about 1000 words - meet the 1000 word goal, especially if you are embedding graphs and tables) explaining the results from your analysis of the ROI of Business Majors and Engineering Majors. Use your results from each week’s assignment to make this report.This report should include:IntroductionA detailed description of the data used in this analysis – specifically explain what the data in each column represents.A detailed description of ROI and how it applies to the central question.Scenario: Create a scenario of someone you are talking with to share the information.4 Body paragraphs: A detailed explanation of any information learned about:1. School Type for each major;2. The Cost for each major;3. The 30 Year ROI for each major;4. The Annual % ROI for each major.Explanations in these four paragraphs should be supported with the results obtained from your work in previous weeks. This means hypothesis testing, confidence intervals, measures of central tendency, normal / not normal distributions, public vs. private, regression analysis, etc. should all find a way into the paper. The highlighted boxes of interpretation should really help here. You are allowed to use your work in the highlighted boxes.Conclusion: Finally, answer the following questions and support your answer with your results.Does there appear to be a particular major that gives a better ROI? Why or Why not?What advice would you give to the person you are sharing this information with?Given that we are using statistical inference to make our conclusions, is it guaranteed that the major you choose that gave a better ROI for this sample will ALWAYS have a better ROI than the other major? Explain your reasoning.
2 pages
Statistics Report
To compare sales volume, I choose to use mean to determine how the salespersons performed. From the results obtains, sales ...
Statistics Report
To compare sales volume, I choose to use mean to determine how the salespersons performed. From the results obtains, sales person B had the highest ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar month index positions for the summer months (inclusive, with 4 elements in all). Use vector indexing to extract the text values of Months, indexed by Summer. Multiply Summer by 3. What are the values of Months, when indexed by Summer multiplied by 3? Why do you get that answer? What is the mean (average) summer month, as an integer value? Which value of Months corresponds to it? Why do you get that answer? Use the floor() and ceiling() functions to return the upper and lower limits of Months for the average Summer month. (Hint: to find out how a function works, use R help if needed.) E-commerce Data for Exercises The data set comprises responses to intercept surveys asked when users visited the site, along with data about each user’s site activity such as number of pages visited and whether a sale was completed. Identifying details for the site and customers have been removed but the observations otherwise are actual data. We will load the data set first, and then explain a few of its observations. To load the data from CSV format, use the following command (or load ecommerce-data.csv from a local location if you have downloaded it, as noted in Section 1.6.3). ecomm.df <- read.csv("https://goo.gl/hzRyFd") summary(ecomm.df) How many observations and variables are in the e-commerce data set? Compute a frequency table for the country of origin for site visits. After the United States, which country had the most visitors? Compute a two-way frequency table for the intent to purchase (intentWasPlanningToBuy), broken out by user profile. What are the proportions of parents who intended to purchase? the proportions of teachers who did? For each one, omit observations for whom the intent is unknown (blank). Among US states (recorded in the variable region), which state had the most visitors and how many? Solve the previous problem for the state with the most visitors, using the which.max() function (or repeat the same answer, if you already used it). Draw a histogram for the number of visits to the site (behavNumVisits). Adjust it for more detail in the lower values. Color the bars and add a density line. Draw a horizontal boxplot for the number of site visits. Which chart from the previous two exercises, a histogram or a boxplot, is more useful to you, and why? Draw a boxplot for site visits broken out with a unique row for each profile type. (Note: if the chart margins make it unreadable, try the following command before plotting: par(mar=c(3, 12, 2, 2)). After plotting, you can use the command par(mar=c(5, 4, 4, 2) + 0.1) to reset the chart margins.) *Write a function called MeanMedDiff that returns the absolute difference between the mean and the median of a vector. *What is the mean-median difference for number of site visits? *What is the mean-median difference for site visits, after excluding the person who had the most visits?
RSCH 8210 Walden University Week 6 Statistics Discussion
Learning Goal: I'm working on a statistics question and need an explanation and answer to help me learn.Whether in a schol ...
RSCH 8210 Walden University Week 6 Statistics Discussion
Learning Goal: I'm working on a statistics question and need an explanation and answer to help me learn.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review the Learning Resources and the media programs related to t tests.Search for and select a quantitative article specific to your discipline and related to t tests. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this week’s Learning ResourcesBY DAY 3Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:Which is the research design used by the authors?Why did the authors use this t test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful? Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 8, “Testing Hypothesis” (pp. 243-279)
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MA215 Grantham University Week 8 Return on Investment Final Project
Final Project Week 8Write a minimum 4 page report (Four pages is about 1000 words - meet the 1000 word goal, especially if ...
MA215 Grantham University Week 8 Return on Investment Final Project
Final Project Week 8Write a minimum 4 page report (Four pages is about 1000 words - meet the 1000 word goal, especially if you are embedding graphs and tables) explaining the results from your analysis of the ROI of Business Majors and Engineering Majors. Use your results from each week’s assignment to make this report.This report should include:IntroductionA detailed description of the data used in this analysis – specifically explain what the data in each column represents.A detailed description of ROI and how it applies to the central question.Scenario: Create a scenario of someone you are talking with to share the information.4 Body paragraphs: A detailed explanation of any information learned about:1. School Type for each major;2. The Cost for each major;3. The 30 Year ROI for each major;4. The Annual % ROI for each major.Explanations in these four paragraphs should be supported with the results obtained from your work in previous weeks. This means hypothesis testing, confidence intervals, measures of central tendency, normal / not normal distributions, public vs. private, regression analysis, etc. should all find a way into the paper. The highlighted boxes of interpretation should really help here. You are allowed to use your work in the highlighted boxes.Conclusion: Finally, answer the following questions and support your answer with your results.Does there appear to be a particular major that gives a better ROI? Why or Why not?What advice would you give to the person you are sharing this information with?Given that we are using statistical inference to make our conclusions, is it guaranteed that the major you choose that gave a better ROI for this sample will ALWAYS have a better ROI than the other major? Explain your reasoning.
2 pages
Statistics Report
To compare sales volume, I choose to use mean to determine how the salespersons performed. From the results obtains, sales ...
Statistics Report
To compare sales volume, I choose to use mean to determine how the salespersons performed. From the results obtains, sales person B had the highest ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar ...
Boston University Database Management and Modeling Discussion
Create a text vector called Months with names of the 12 months of the year. Create a numeric vector Summer, with Calendar month index positions for the summer months (inclusive, with 4 elements in all). Use vector indexing to extract the text values of Months, indexed by Summer. Multiply Summer by 3. What are the values of Months, when indexed by Summer multiplied by 3? Why do you get that answer? What is the mean (average) summer month, as an integer value? Which value of Months corresponds to it? Why do you get that answer? Use the floor() and ceiling() functions to return the upper and lower limits of Months for the average Summer month. (Hint: to find out how a function works, use R help if needed.) E-commerce Data for Exercises The data set comprises responses to intercept surveys asked when users visited the site, along with data about each user’s site activity such as number of pages visited and whether a sale was completed. Identifying details for the site and customers have been removed but the observations otherwise are actual data. We will load the data set first, and then explain a few of its observations. To load the data from CSV format, use the following command (or load ecommerce-data.csv from a local location if you have downloaded it, as noted in Section 1.6.3). ecomm.df <- read.csv("https://goo.gl/hzRyFd") summary(ecomm.df) How many observations and variables are in the e-commerce data set? Compute a frequency table for the country of origin for site visits. After the United States, which country had the most visitors? Compute a two-way frequency table for the intent to purchase (intentWasPlanningToBuy), broken out by user profile. What are the proportions of parents who intended to purchase? the proportions of teachers who did? For each one, omit observations for whom the intent is unknown (blank). Among US states (recorded in the variable region), which state had the most visitors and how many? Solve the previous problem for the state with the most visitors, using the which.max() function (or repeat the same answer, if you already used it). Draw a histogram for the number of visits to the site (behavNumVisits). Adjust it for more detail in the lower values. Color the bars and add a density line. Draw a horizontal boxplot for the number of site visits. Which chart from the previous two exercises, a histogram or a boxplot, is more useful to you, and why? Draw a boxplot for site visits broken out with a unique row for each profile type. (Note: if the chart margins make it unreadable, try the following command before plotting: par(mar=c(3, 12, 2, 2)). After plotting, you can use the command par(mar=c(5, 4, 4, 2) + 0.1) to reset the chart margins.) *Write a function called MeanMedDiff that returns the absolute difference between the mean and the median of a vector. *What is the mean-median difference for number of site visits? *What is the mean-median difference for site visits, after excluding the person who had the most visits?
RSCH 8210 Walden University Week 6 Statistics Discussion
Learning Goal: I'm working on a statistics question and need an explanation and answer to help me learn.Whether in a schol ...
RSCH 8210 Walden University Week 6 Statistics Discussion
Learning Goal: I'm working on a statistics question and need an explanation and answer to help me learn.Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review the Learning Resources and the media programs related to t tests.Search for and select a quantitative article specific to your discipline and related to t tests. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this week’s Learning ResourcesBY DAY 3Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:Which is the research design used by the authors?Why did the authors use this t test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful? Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 8, “Testing Hypothesis” (pp. 243-279)
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