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## MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:
1. LOCATION (Rural, Urban, Suburban)
2. INCOME (in \$1,000’s – be careful with this)
3. SIZE (Household Size, meaning number of people living in the household)
4. YEARS (the number of years that the customer has lived in the current location)
5. CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$).
The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:
LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$)
Urban 54 3 12 4016
Rural 30 2 12 3159
Suburban 32 4 17 5100
Suburban 50 5 14 4742
Rural 31 2 4 1864
Urban 55 2 9 4070
Rural 37 1 20 2731
Urban 40 2 7 3348
Suburban 66 4 10 4764
Urban 51 3 16 4110
Urban 25 3 11 4208
Urban 48 4 16 4219
Rural 27 1 19 2477
Rural 33 2 12 2514
Urban 65 3 12 4214
Suburban 63 4 13 4965
Urban 42 6 15 4412
Urban 21 2 18 2448
Rural 44 1 7 2995
Urban 37 5 5 4171
Suburban 62 6 13 5678
Urban 21 3 16 3623
Suburban 55 7 15 5301
Rural 42 2 19 3020
Urban 41 7 18 4828
Suburban 54 6 14 5573
Rural 30 1 14 2583
Rural 48 2 8 3866
Urban 34 5 5 3586
Suburban 67 4 13 5037
Rural 50 2 11 3605
Urban 67 5 1 5345
Urban 55 6 16 5370
Urban 52 2 11 3890
Urban 62 3 2 4705
Urban 64 2 6 4157
Suburban 22 3 18 3579
Urban 29 4 4 3890
Suburban 39 2 18 2972
Rural 35 1 11 3121
Urban 39 4 15 4183
Suburban 54 3 9 3730
Suburban 23 6 18 4127
Rural 27 2 1 2921
Urban 26 7 17 4603
Suburban 61 2 14 4273
Rural 30 2 14 3067
Rural 22 4 16 3074
Suburban 46 5 13 4820
Suburban 66 4 20 5149

PROJECT PART A: Exploratory Data Analysis

• Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
• For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean.
• Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
• Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.
• All DeVry University policies are in effect, including the plagiarism policy.
• Project Part A report is due by the end of Week 2.
• Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report:
A. Brief Introduction
B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation
C. Discuss your 2nd individual variable, using graphical, numerical summary and interpretation
D. Discuss your 3rd individual variable, using graphical, numerical summary and interpretation
E. Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation
F. Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation
G. Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation
H. Conclusion

Project Part B: Hypothesis Testing and Confidence Intervals

Your manager has speculated the following:
a. the average (mean) annual income was less than \$50,000,
b. the true population proportion of customers who live in an urban area exceeds 40%,
c. the average (mean) number of years lived in the current home is less than 13 years,
d. the average (mean) credit balance for suburban customers is more than \$4300.
1. Using the sample data, perform the hypothesis test for each of the above situations in order to see if there is evidence to support your manager’s belief in each case a.-d. In each case use the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book with α = .05, and explain your conclusion in simple terms. Also be sure to compute the p-value and interpret.
2. Follow this up with computing 95% confidence intervals for each of the variables described in a.-d., and again interpreting these intervals.
3. Write a report to your manager about the results, distilling down the results in a way that would be understandable to someone who does not know statistics. Clear explanations and interpretations are critical.
4. All DeVry University policies are in effect, including the plagiarism policy.
5. Project Part B report is due by the end of Week 6.
6. Project Part B is worth 100 total points. See grading rubric below.
Submission: The report from part 3 + all of the relevant work done in the hypothesis testing (including Minitab) in 1., and the confidence intervals (Minitab) in 2 as an appendix.
Format for report:
A. Summary Report (about 1 paragraph on each of the speculations a.-d.)
B. Appendix with all of the steps in hypothesis testing (the format of the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book) for each speculation a.-d. as well as the confidence intervals, and including all Minitab output

Project Part C: Regression and Correlation Analysis

Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following.
1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the “best fit” line. Interpret.
2. Determine the equation of the “best fit” line, which describes the relationship between CREDIT BALANCE and SIZE.
3. Determine the coefficient of correlation. Interpret.
4. Determine the coefficient of determination. Interpret.
5. Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including the p-value.
6. Based on your findings in 1-5, what is your opinion about using SIZE to predict CREDIT BALANCE? Explain.
7. Compute the 95% confidence interval for beta-1 (the population slope). Interpret this interval.
8. Using an interval, estimate the average credit balance for customers that have household size of 5. Interpret this interval.
9. Using an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval.
10. What can we say about the credit balance for a customer that has a household size of 10? Explain your answer.
In an attempt to improve the model, we attempt to do a multiple regression model predicting CREDIT BALANCE based on INCOME, SIZE and YEARS.
11. Using MINITAB run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model.
12. Perform the Global Test for Utility (F-Test). Explain your conclusion.
13. Perform the t-test on each independent variable. Explain your conclusions and clearly state how you should proceed. In particular, which independent variables should we keep and which should be discarded.
14. Is this multiple regression model better than the linear model that we generated in parts 1-10? Explain.
15. All DeVry University policies are in effect, including the plagiarism policy.
16. Project Part C report is due by the end of Week 7.
17. Project Part C is worth 100 total points. See grading rubric below.
Summarize your results from 1-14 in a report that is three pages or less in length and explains and interprets the results in ways that are understandable to someone who does not know statistics.
Submission: The summary report + all of the work done in 1-14 (Minitab Output + interpretations) as an appendix.
Format:
A. Summary Report
B. Points 1-14 addressed with appropriate output, graphs and interpretations. Be sure to number each point 1-14.

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## MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

“AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:”

“LOCATION (Rural, Urban, Suburban) ”
“INCOME (in \$1,000’s – be careful with this) ”
“SIZE (Household Size, meaning number of people living in the household) ”
YEARS (the number of years that the customer has lived in the current location)
“CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$). ”
The data appears below.
LOCATION
,INCOME(\$1000),SIZE,YEARS,CREDIT BALANCE(\$)

,54,3,12,4016
Urban

,30,2,12,3159
Rural

,32,4,17,5100
Suburban

,50,5,14,4742
Suburban

,31,2,4,1864
Rural

,55,2,9,4070
Urban

,37,1,20,2731
Rural

,40,2,7,3348
Urban

,66,4,10,4764
Suburban

,51,3,16,4110
Urban

,25,3,11,4208
Urban

,48,4,16,4219
Urban

,27,1,19,2477
Rural

,33,2,12,2514
Rural

,65,3,12,4214
Urban

,63,4,13,4965
Suburban

,42,6,15,4412
Urban

,21,2,18,2448
Urban

,44,1,7,2995
Rural

,37,5,5,4171
Urban

,62,6,13,5678
Suburban

,21,3,16,3623
Urban

,55,7,15,5301
Suburban

,42,2,19,3020
Rural

,41,7,18,4828
Urban

,54,6,14,5573
Suburban

,30,1,14,2583
Rural

,48,2,8,3866
Rural

,34,5,5,3586
Urban

,67,4,13,5037
Suburban

,50,2,11,3605
Rural

,67,5,1,5345
Urban

,55,6,16,5370
Urban

,52,2,11,3890
Urban

,62,3,2,4705
Urban

,64,2,6,4157
Urban

,22,3,18,3579
Suburban

,29,4,4,3890
Urban

,39,2,18,2972
Suburban

,35,1,11,3121
Rural

,39,4,15,4183
Urban

,54,3,9,3730
Suburban

,23,6,18,4127
Suburban

,27,2,1,2921
Rural

,26,7,17,4603
Urban

,61,2,14,4273
Suburban

,30,2,14,3067
Rural

Rural,22,4,16,3074

,46,5,13,4820
Suburban

,66,4,20,5149
Suburban

PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
“For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. ”
“Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not. ”
“Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location. ”
“All DeVry University policies are in effect, including the plagiarism policy. ”
Project Part A report is due by the end of Week 2.
Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report: Brief Introduction
“Discuss your 1st individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 2nd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 3rd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation ”
Conclusion

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link.

## MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

“AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:”

“LOCATION (Rural, Urban, Suburban) ”
“INCOME (in \$1,000’s – be careful with this) ”
“SIZE (Household Size, meaning number of people living in the household) ”
YEARS (the number of years that the customer has lived in the current location)
“CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$). ”
The data appears below.
LOCATION
,INCOME(\$1000),SIZE,YEARS,CREDIT BALANCE(\$)

,54,3,12,4016
Urban

,30,2,12,3159
Rural

,32,4,17,5100
Suburban

,50,5,14,4742
Suburban

,31,2,4,1864
Rural

,55,2,9,4070
Urban

,37,1,20,2731
Rural

,40,2,7,3348
Urban

,66,4,10,4764
Suburban

,51,3,16,4110
Urban

,25,3,11,4208
Urban

,48,4,16,4219
Urban

,27,1,19,2477
Rural

,33,2,12,2514
Rural

,65,3,12,4214
Urban

,63,4,13,4965
Suburban

,42,6,15,4412
Urban

,21,2,18,2448
Urban

,44,1,7,2995
Rural

,37,5,5,4171
Urban

,62,6,13,5678
Suburban

,21,3,16,3623
Urban

,55,7,15,5301
Suburban

,42,2,19,3020
Rural

,41,7,18,4828
Urban

,54,6,14,5573
Suburban

,30,1,14,2583
Rural

,48,2,8,3866
Rural

,34,5,5,3586
Urban

,67,4,13,5037
Suburban

,50,2,11,3605
Rural

,67,5,1,5345
Urban

,55,6,16,5370
Urban

,52,2,11,3890
Urban

,62,3,2,4705
Urban

,64,2,6,4157
Urban

,22,3,18,3579
Suburban

,29,4,4,3890
Urban

,39,2,18,2972
Suburban

,35,1,11,3121
Rural

,39,4,15,4183
Urban

,54,3,9,3730
Suburban

,23,6,18,4127
Suburban

,27,2,1,2921
Rural

,26,7,17,4603
Urban

,61,2,14,4273
Suburban

,30,2,14,3067
Rural

Rural,22,4,16,3074

,46,5,13,4820
Suburban

,66,4,20,5149
Suburban

PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
“For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. ”
“Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not. ”
“Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location. ”
“All DeVry University policies are in effect, including the plagiarism policy. ”
Project Part A report is due by the end of Week 2.
Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report: Brief Introduction
“Discuss your 1st individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 2nd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 3rd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation ”
Conclusion

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link.

## MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Final Exam Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:
1. LOCATION (Rural, Urban, Suburban)
2. INCOME (in \$1,000’s – be careful with this)
3. SIZE (Household Size, meaning number of people living in the household)
4. YEARS (the number of years that the customer has lived in the current location)
5. CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$).
The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:
LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$)
Urban 54 3 12 4016
Rural 30 2 12 3159
Suburban 32 4 17 5100
Suburban 50 5 14 4742
Rural 31 2 4 1864
Urban 55 2 9 4070
Rural 37 1 20 2731
Urban 40 2 7 3348
Suburban 66 4 10 4764
Urban 51 3 16 4110
Urban 25 3 11 4208
Urban 48 4 16 4219
Rural 27 1 19 2477
Rural 33 2 12 2514
Urban 65 3 12 4214
Suburban 63 4 13 4965
Urban 42 6 15 4412
Urban 21 2 18 2448
Rural 44 1 7 2995
Urban 37 5 5 4171
Suburban 62 6 13 5678
Urban 21 3 16 3623
Suburban 55 7 15 5301
Rural 42 2 19 3020
Urban 41 7 18 4828
Suburban 54 6 14 5573
Rural 30 1 14 2583
Rural 48 2 8 3866
Urban 34 5 5 3586
Suburban 67 4 13 5037
Rural 50 2 11 3605
Urban 67 5 1 5345
Urban 55 6 16 5370
Urban 52 2 11 3890
Urban 62 3 2 4705
Urban 64 2 6 4157
Suburban 22 3 18 3579
Urban 29 4 4 3890
Suburban 39 2 18 2972
Rural 35 1 11 3121
Urban 39 4 15 4183
Suburban 54 3 9 3730
Suburban 23 6 18 4127
Rural 27 2 1 2921
Urban 26 7 17 4603
Suburban 61 2 14 4273
Rural 30 2 14 3067
Rural 22 4 16 3074
Suburban 46 5 13 4820
Suburban 66 4 20 5149

PROJECT PART A: Exploratory Data Analysis

• Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
• For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean.
• Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
• Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.
• All DeVry University policies are in effect, including the plagiarism policy.
• Project Part A report is due by the end of Week 2.
• Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report:
A. Brief Introduction
B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation
C. Discuss your 2nd individual variable, using graphical, numerical summary and interpretation
D. Discuss your 3rd individual variable, using graphical, numerical summary and interpretation
E. Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation
F. Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation
G. Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation
H. Conclusion

Project Part B: Hypothesis Testing and Confidence Intervals

Your manager has speculated the following:
a. the average (mean) annual income was less than \$50,000,
b. the true population proportion of customers who live in an urban area exceeds 40%,
c. the average (mean) number of years lived in the current home is less than 13 years,
d. the average (mean) credit balance for suburban customers is more than \$4300.
1. Using the sample data, perform the hypothesis test for each of the above situations in order to see if there is evidence to support your manager’s belief in each case a.-d. In each case use the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book with α = .05, and explain your conclusion in simple terms. Also be sure to compute the p-value and interpret.
2. Follow this up with computing 95% confidence intervals for each of the variables described in a.-d., and again interpreting these intervals.
3. Write a report to your manager about the results, distilling down the results in a way that would be understandable to someone who does not know statistics. Clear explanations and interpretations are critical.
4. All DeVry University policies are in effect, including the plagiarism policy.
5. Project Part B report is due by the end of Week 6.
6. Project Part B is worth 100 total points. See grading rubric below.
Submission: The report from part 3 + all of the relevant work done in the hypothesis testing (including Minitab) in 1., and the confidence intervals (Minitab) in 2 as an appendix.
Format for report:
A. Summary Report (about 1 paragraph on each of the speculations a.-d.)
B. Appendix with all of the steps in hypothesis testing (the format of the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book) for each speculation a.-d. as well as the confidence intervals, and including all Minitab output

Project Part C: Regression and Correlation Analysis

Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following.
1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the “best fit” line. Interpret.
2. Determine the equation of the “best fit” line, which describes the relationship between CREDIT BALANCE and SIZE.
3. Determine the coefficient of correlation. Interpret.
4. Determine the coefficient of determination. Interpret.
5. Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including the p-value.
6. Based on your findings in 1-5, what is your opinion about using SIZE to predict CREDIT BALANCE? Explain.
7. Compute the 95% confidence interval for beta-1 (the population slope). Interpret this interval.
8. Using an interval, estimate the average credit balance for customers that have household size of 5. Interpret this interval.
9. Using an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval.
10. What can we say about the credit balance for a customer that has a household size of 10? Explain your answer.
In an attempt to improve the model, we attempt to do a multiple regression model predicting CREDIT BALANCE based on INCOME, SIZE and YEARS.
11. Using MINITAB run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model.
12. Perform the Global Test for Utility (F-Test). Explain your conclusion.
13. Perform the t-test on each independent variable. Explain your conclusions and clearly state how you should proceed. In particular, which independent variables should we keep and which should be discarded.
14. Is this multiple regression model better than the linear model that we generated in parts 1-10? Explain.
15. All DeVry University policies are in effect, including the plagiarism policy.
16. Project Part C report is due by the end of Week 7.
17. Project Part C is worth 100 total points. See grading rubric below.
Summarize your results from 1-14 in a report that is three pages or less in length and explains and interprets the results in ways that are understandable to someone who does not know statistics.
Submission: The summary report + all of the work done in 1-14 (Minitab Output + interpretations) as an appendix.
Format:
A. Summary Report
B. Points 1-14 addressed with appropriate output, graphs and interpretations. Be sure to number each point 1-14.

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## MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:
1. LOCATION (Rural, Urban, Suburban)
2. INCOME (in \$1,000’s – be careful with this)
3. SIZE (Household Size, meaning number of people living in the household)
4. YEARS (the number of years that the customer has lived in the current location)
5. CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$).
The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:
LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$)
Urban 54 3 12 4016
Rural 30 2 12 3159
Suburban 32 4 17 5100
Suburban 50 5 14 4742
Rural 31 2 4 1864
Urban 55 2 9 4070
Rural 37 1 20 2731
Urban 40 2 7 3348
Suburban 66 4 10 4764
Urban 51 3 16 4110
Urban 25 3 11 4208
Urban 48 4 16 4219
Rural 27 1 19 2477
Rural 33 2 12 2514
Urban 65 3 12 4214
Suburban 63 4 13 4965
Urban 42 6 15 4412
Urban 21 2 18 2448
Rural 44 1 7 2995
Urban 37 5 5 4171
Suburban 62 6 13 5678
Urban 21 3 16 3623
Suburban 55 7 15 5301
Rural 42 2 19 3020
Urban 41 7 18 4828
Suburban 54 6 14 5573
Rural 30 1 14 2583
Rural 48 2 8 3866
Urban 34 5 5 3586
Suburban 67 4 13 5037
Rural 50 2 11 3605
Urban 67 5 1 5345
Urban 55 6 16 5370
Urban 52 2 11 3890
Urban 62 3 2 4705
Urban 64 2 6 4157
Suburban 22 3 18 3579
Urban 29 4 4 3890
Suburban 39 2 18 2972
Rural 35 1 11 3121
Urban 39 4 15 4183
Suburban 54 3 9 3730
Suburban 23 6 18 4127
Rural 27 2 1 2921
Urban 26 7 17 4603
Suburban 61 2 14 4273
Rural 30 2 14 3067
Rural 22 4 16 3074
Suburban 46 5 13 4820
Suburban 66 4 20 5149

PROJECT PART A: Exploratory Data Analysis

• Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
• For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean.
• Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
• Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.
• All DeVry University policies are in effect, including the plagiarism policy.
• Project Part A report is due by the end of Week 2.
• Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report:
A. Brief Introduction
B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation
C. Discuss your 2nd individual variable, using graphical, numerical summary and interpretation
D. Discuss your 3rd individual variable, using graphical, numerical summary and interpretation
E. Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation
F. Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation
G. Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation
H. Conclusion

Project Part B: Hypothesis Testing and Confidence Intervals

Your manager has speculated the following:
a. the average (mean) annual income was less than \$50,000,
b. the true population proportion of customers who live in an urban area exceeds 40%,
c. the average (mean) number of years lived in the current home is less than 13 years,
d. the average (mean) credit balance for suburban customers is more than \$4300.
1. Using the sample data, perform the hypothesis test for each of the above situations in order to see if there is evidence to support your manager’s belief in each case a.-d. In each case use the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book with α = .05, and explain your conclusion in simple terms. Also be sure to compute the p-value and interpret.
2. Follow this up with computing 95% confidence intervals for each of the variables described in a.-d., and again interpreting these intervals.
3. Write a report to your manager about the results, distilling down the results in a way that would be understandable to someone who does not know statistics. Clear explanations and interpretations are critical.
4. All DeVry University policies are in effect, including the plagiarism policy.
5. Project Part B report is due by the end of Week 6.
6. Project Part B is worth 100 total points. See grading rubric below.
Submission: The report from part 3 + all of the relevant work done in the hypothesis testing (including Minitab) in 1., and the confidence intervals (Minitab) in 2 as an appendix.
Format for report:
A. Summary Report (about 1 paragraph on each of the speculations a.-d.)
B. Appendix with all of the steps in hypothesis testing (the format of the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book) for each speculation a.-d. as well as the confidence intervals, and including all Minitab output

Project Part C: Regression and Correlation Analysis

Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following.
1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the “best fit” line. Interpret.
2. Determine the equation of the “best fit” line, which describes the relationship between CREDIT BALANCE and SIZE.
3. Determine the coefficient of correlation. Interpret.
4. Determine the coefficient of determination. Interpret.
5. Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including the p-value.
6. Based on your findings in 1-5, what is your opinion about using SIZE to predict CREDIT BALANCE? Explain.
7. Compute the 95% confidence interval for beta-1 (the population slope). Interpret this interval.
8. Using an interval, estimate the average credit balance for customers that have household size of 5. Interpret this interval.
9. Using an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval.
10. What can we say about the credit balance for a customer that has a household size of 10? Explain your answer.
In an attempt to improve the model, we attempt to do a multiple regression model predicting CREDIT BALANCE based on INCOME, SIZE and YEARS.
11. Using MINITAB run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model.
12. Perform the Global Test for Utility (F-Test). Explain your conclusion.
13. Perform the t-test on each independent variable. Explain your conclusions and clearly state how you should proceed. In particular, which independent variables should we keep and which should be discarded.
14. Is this multiple regression model better than the linear model that we generated in parts 1-10? Explain.
15. All DeVry University policies are in effect, including the plagiarism policy.
16. Project Part C report is due by the end of Week 7.
17. Project Part C is worth 100 total points. See grading rubric below.
Summarize your results from 1-14 in a report that is three pages or less in length and explains and interprets the results in ways that are understandable to someone who does not know statistics.
Submission: The summary report + all of the work done in 1-14 (Minitab Output + interpretations) as an appendix.
Format:
A. Summary Report
B. Points 1-14 addressed with appropriate output, graphs and interpretations. Be sure to number each point 1-14.

For getting the instant digital download solution, Please click on the “PURCHASE” link below to get MATH 533 Applied Managerial Statistics Course Project All Weeks Part A_Part B_Part C_Answer

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## MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

“AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:”

“LOCATION (Rural, Urban, Suburban) ”
“INCOME (in \$1,000’s – be careful with this) ”
“SIZE (Household Size, meaning number of people living in the household) ”
YEARS (the number of years that the customer has lived in the current location)
“CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$). ”
The data appears below.
LOCATION
,INCOME(\$1000),SIZE,YEARS,CREDIT BALANCE(\$)

,54,3,12,4016
Urban

,30,2,12,3159
Rural

,32,4,17,5100
Suburban

,50,5,14,4742
Suburban

,31,2,4,1864
Rural

,55,2,9,4070
Urban

,37,1,20,2731
Rural

,40,2,7,3348
Urban

,66,4,10,4764
Suburban

,51,3,16,4110
Urban

,25,3,11,4208
Urban

,48,4,16,4219
Urban

,27,1,19,2477
Rural

,33,2,12,2514
Rural

,65,3,12,4214
Urban

,63,4,13,4965
Suburban

,42,6,15,4412
Urban

,21,2,18,2448
Urban

,44,1,7,2995
Rural

,37,5,5,4171
Urban

,62,6,13,5678
Suburban

,21,3,16,3623
Urban

,55,7,15,5301
Suburban

,42,2,19,3020
Rural

,41,7,18,4828
Urban

,54,6,14,5573
Suburban

,30,1,14,2583
Rural

,48,2,8,3866
Rural

,34,5,5,3586
Urban

,67,4,13,5037
Suburban

,50,2,11,3605
Rural

,67,5,1,5345
Urban

,55,6,16,5370
Urban

,52,2,11,3890
Urban

,62,3,2,4705
Urban

,64,2,6,4157
Urban

,22,3,18,3579
Suburban

,29,4,4,3890
Urban

,39,2,18,2972
Suburban

,35,1,11,3121
Rural

,39,4,15,4183
Urban

,54,3,9,3730
Suburban

,23,6,18,4127
Suburban

,27,2,1,2921
Rural

,26,7,17,4603
Urban

,61,2,14,4273
Suburban

,30,2,14,3067
Rural

Rural,22,4,16,3074

,46,5,13,4820
Suburban

,66,4,20,5149
Suburban

PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
“For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. ”
“Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not. ”
“Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location. ”
“All DeVry University policies are in effect, including the plagiarism policy. ”
Project Part A report is due by the end of Week 2.
Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report: Brief Introduction
“Discuss your 1st individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 2nd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 3rd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation ”
Conclusion

For instant digital download of the above solution or tutorial, please click on the below link and make an instant purchase. You will be guided to the PAYPAL Standard payment page wherein you can pay and you will receive an email immediately with a download link.

## MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

MATH533 Project Course Project A _Exploratory Data AnalysisJ_DAVIS DEPARTMENT STORES_Answer

“AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:”

“LOCATION (Rural, Urban, Suburban) ”
“INCOME (in \$1,000’s – be careful with this) ”
“SIZE (Household Size, meaning number of people living in the household) ”
YEARS (the number of years that the customer has lived in the current location)
“CREDIT BALANCE (the customers current credit card balance on the store’s credit card, in \$). ”
The data appears below.
LOCATION
,INCOME(\$1000),SIZE,YEARS,CREDIT BALANCE(\$)

,54,3,12,4016
Urban

,30,2,12,3159
Rural

,32,4,17,5100
Suburban

,50,5,14,4742
Suburban

,31,2,4,1864
Rural

,55,2,9,4070
Urban

,37,1,20,2731
Rural

,40,2,7,3348
Urban

,66,4,10,4764
Suburban

,51,3,16,4110
Urban

,25,3,11,4208
Urban

,48,4,16,4219
Urban

,27,1,19,2477
Rural

,33,2,12,2514
Rural

,65,3,12,4214
Urban

,63,4,13,4965
Suburban

,42,6,15,4412
Urban

,21,2,18,2448
Urban

,44,1,7,2995
Rural

,37,5,5,4171
Urban

,62,6,13,5678
Suburban

,21,3,16,3623
Urban

,55,7,15,5301
Suburban

,42,2,19,3020
Rural

,41,7,18,4828
Urban

,54,6,14,5573
Suburban

,30,1,14,2583
Rural

,48,2,8,3866
Rural

,34,5,5,3586
Urban

,67,4,13,5037
Suburban

,50,2,11,3605
Rural

,67,5,1,5345
Urban

,55,6,16,5370
Urban

,52,2,11,3890
Urban

,62,3,2,4705
Urban

,64,2,6,4157
Urban

,22,3,18,3579
Suburban

,29,4,4,3890
Urban

,39,2,18,2972
Suburban

,35,1,11,3121
Rural

,39,4,15,4183
Urban

,54,3,9,3730
Suburban

,23,6,18,4127
Suburban

,27,2,1,2921
Rural

,26,7,17,4603
Urban

,61,2,14,4273
Suburban

,30,2,14,3067
Rural

Rural,22,4,16,3074

,46,5,13,4820
Suburban

,66,4,20,5149
Suburban

PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.
“For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean. ”
“Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not. ”
“Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20 page report on every variable and every possible relationship (that’s 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location. ”
“All DeVry University policies are in effect, including the plagiarism policy. ”
Project Part A report is due by the end of Week 2.
Project Part A is worth 100 total points. See grading rubric below.
Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.
Format for report: Brief Introduction
“Discuss your 1st individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 2nd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 3rd individual variable, using graphical, numerical summary and interpretation ”
“Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation ”
“Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation ”
Conclusion