Case Problem $2.$ Part $1$: Pelican stores

$($For this portion, please submit the written report, Excel file, PowerPoint, and evaluation on BB$.)$

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 $3\mathrm{.}13$ 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.

Most of the variables in the dataset 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.

Managerial Report

Percent frequency distributions were introduced in Section $2\mathrm{.}4.$ You can use Excel to create percent frequency

distributions using PivotTables.

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