In a single Word document, complete chapter 2, case problem 1, ‘ Heavenly Chocolates Web Site Transactions.’? If using Excel or Minitab for your calculations, charts, and graphs, pl

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Chapter 3: Data Visualization: Case Problem 1 Pelican stores Book Title: Business Analytics Printed By: Jigar Jitendrak Patel ([email protected]) © 2021 Cengage Learning, Cengage Learning

Chapter Review

Case Problem 1 Pelican stores

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 stores. 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 PelicanStores. Table 3.13 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 a discount coupon are referred to as regular customers. Because the promotional coupons were not sent to regular Pelican Stores customers, management considers the sales made to people presenting the promotional coupons as sales it would not otherwise make. Of course, Pelican also hopes that the promotional customers will continue to shop at its stores.

Table 3.13

Data for a Sample of 100 Credit Card Purchases at Pelican Stores

Customer Type of Customer Items

Net Sales

Method of Payment Gender

Marital Status Age

1 Regular 1 39.50 Discover Male Married 32

2 Promotional 1 102.40 Proprietary Card

Female Married 36

3 Regular 1 22.50 Proprietary Card

Female Married 32

4 Promotional 5 100.40 Proprietary Card

Female Married 28

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Customer Type of Customer Items

Net Sales

Method of Payment Gender

Marital Status Age

5 Regular 2 54.00 MasterCard Female Married 34

. . . . . . . .

. . . . . . . .

. . . . . . . .

96 Regular 1 39.50 MasterCard Female Married 44

97 Promotional 9 253.00 Proprietary Card

Female Married 30

98 Promotional 10 287.59 Proprietary Card

Female Married 52

99 Promotional 2 47.60 Proprietary Card

Female Married 30

100 Promotional 1 28.44 Proprietary Card

Female Married 44

Most of the variables shown in Table 3.13 are self-explanatory, but two of the variables require some clarification.

Items The total number of items purchased?

Net Sales The total amount ($) charged to the credit card

Pelican’s management would like to use this sample data to learn about its customer base and to evaluate the promotion involving discount coupons.

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Percent frequency distributions were introduced in Section 2.4. You can use Excel to create percent frequency distributions using PivotTables.

Managerial Report

Use the tabular and graphical methods of descriptive statistics to help management develop a customer profile and to evaluate the promotional campaign. At a minimum, your report should include the following:

1. Percent frequency distributions for each of the key variables: number of items purchased, net sales, method of payment, gender, marital status, and age.

2. A sorted bar chart showing the number of customer purchases attributable to the method of payment.

3. A crosstabulation of type of customer (regular or promotional) versus net sales. Comment on any similarities of differences observed.

4. A scatter chart to explore the relationship between net sales and customer age.

5. A chart to examine whether the relationship between net sales and age depends on the marital status of the customer.

6. A side-by-side bar chart to examine the method of payment by customer type (regular or promotional). Comment on any differences you observe between the methods of payments used by the different types of customers.

Chapter 3: Data Visualization: Case Problem 1 Pelican stores Book Title: Business Analytics Printed By: Jigar Jitendrak Patel ([email protected]) © 2021 Cengage Learning, Cengage Learning

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