Mahmud Chowdhury, Marc Salerno, John Curtis Gwilliam
EC 203
Chapter 2 Group Project
Pelican Stores

The Pelican Stores division of National Clothing has recently run a promotional campaign in which discounted coupons were sent to customers of other National Clothing stores but not Pelican Stores customers. Throughout the course of one day, about 70 promotional customers were recorded. If these customers are to be counted as customers that Pelican stores would not have otherwise gotten, then the promotion can be considered as an overall success. However, general widespread promotions may not be economically feasible in the future. In this regard, the data from the sales for one day will be analyzed in order to develop a better customer profile and evaluate the promotional campaign. The first variable of interest will be number of items sold per customer. Items | Percent Frequency | (0-2) | 56 | (3-5) | 28 | (6-8) | 9 | (9-11) | 4 | (12-14) | 1 | (15-17) | 2 |

From this data, we see that the number of items sold is heavily skewed to the right. Most of the item sales were within the 0-2 and 3-5 items sold range, comprising 74% of the sales. From this data, we can say that customers prefer to buy items in small quantities rather than large. The next variable we look at will be net sales in dollars. Net Sales | Percent Frequency | (0-50) | 39 | (51-100) | 35 | (101-150) | 16 | (151-200) | 6 | (201-250) | 1 | (251-300) | 3 |

This data more or less agrees with the data that we acquired when looking at the number of items sold. We see that the data is heavily skewed to the right, with the majority of sales bringing in between $0-$50 and $51-$100. This makes sense because we already know that many people are buying in smaller quantities, so it makes sense that the majority of sales would bring in a proportionate amount of sales,