1438 Words6 Pages

Introduction | | |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 $).

|PROJECT PART A: Exploratory Data Analysis | |*…show more content…*

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 data set currently posted inside DocSharing, 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

|PROJECT PART A: Exploratory Data Analysis | |

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 data set currently posted inside DocSharing, 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

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