12^thWoman Enterprises is a new, small chain of women's clothing stores in Seattle. They recently ran a promotion and sent e-coupons to customers of a rival chain, 48er Rags. They collected data for 100 in-store credit-card purchases during one day while the promotion was in effect. The "National Clothing Card" method of payment refers to charges made using a nationally recognized clothing credit card. Customers who made a purchase using an e-coupon are referred to as "promotional customers" and customers who made a purchase but did not use an e-coupon are referred to as "regular customers." The e-coupons were not sent to regular 12^thWoman customers, so management considers sales made to people presenting the coupons as sales it would not otherwise have made. 12^thWoman would like to use this sample data to learn about its customer base and to evaluate the promotion using the e-coupons.

That will generate output that will make it easier to answer the questions on this Lab. If you get a message asking to turn on binning, click OK to that.

Also, please note that when StatCrunch generates tables like these, it counts elements in a data set by including the lower limit of a bin but excluding the upper limit of a bin. For example, if a column is labeled 60-70, then values between 60 and 70, including 60 but excluding 70, are counted. In interval notation, it is the interval [60,70). Those values that are equal to 70 will be included in the next bin labeled 70-80.