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 | |
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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
Credit balance – When a patient has paid in advance, or an overpayment or duplicate payment is made.
1.b- The true population proportion of customers who live in an urban area exceeds 40%
6. Although you are basically satisfied with the analysis thus far, you are concerned about the
CREDIT BALANCE (the customers current credit card balance on the store's credit card, in $).
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
Select one (1) project from your working or educational environment that you would use the hypothesis test technique. Next, propose the hypothesis structure (e.g., the null hypothesis, data collection process, confidence interval, test statistics, reject or not reject the decision, etc.) for the business process of the selected project. Provide a rationale for your response.
Consider the ski resort satisfaction data we used in class (“satisfaction.sav” in Week 7 folder). This is data based on a survey of 500 users of a ski resort. In class we did part of the analysis. In this question you will be asked to redo some of the analysis and complete the rest. For part a), b) and c), write down your null and alternative hypotheses and then discuss the hypothesis testing results based on SPSS output. Please show your SPSS output for part a), b), and c).
The following allocation of advertising campaign budget was used to estimate number of new policies sold:
7. The data set for this problem can be found through the Pearson Materials in the Student Textbook Resource Access link,
a. Test market results for the southeast regions do not indicate an impressive gain in the market (i.e. market share increased from 9% to 10% when it was expected to reach 15%, display activity was below what the team expected)
Since 1992 when Arthur C. Martinez was brought on board to head Sears’s retailing operations, credit sales, especially through the use of the company’s own proprietary credit card, boost the sales of the company greatly from 1993 to 1997. The new card accounts between 1993 and 1996 were increasing by roughly a 50% rate every year. Besides the company’s own credit cards, the third
Conclusion : Reject the null hypothesis. The sample provide enough evidence to support the claim that mean is significantly different from 12 .
4b) Are there any significant correlations between the variables? If so, explain which variables are correlated, and describe the nature of the correlation (i.e., positive or negative).
Discuss the implication of your statistical findings in terms of the belief that some owners of the automobiles experienced automobile failures.
Pelican Stores, a division of National Clothing, is a chain of women's apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stares. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named Pelican Stores. Table 2.17 shows a portion of the data set. The Proprietary Card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use