Submitted by: Submitted by tchili421
Views: 849
Words: 754
Pages: 4
Category: Business and Industry
Date Submitted: 02/25/2013 10:00 PM
Case 1A
Pelican Stores recently ran a promotion, sending discount coupons to customers of other stores. An analysis of the data collected from 100 customers during the promotion is below. Note, because of the fact that there were 100 samples; the frequency and percent frequency are the same. Below are the percent frequency distributions for various key variables.
1.)
|Type of Customer |% Frequency |Gender |% Frequency |Marital Status |% Frequency |
|Regular |30 |Male |7 |Single |16 |
|Promotional |70 |Female |93 |Married |84 |
|Method of Payment |% Frequency |Age |% Frequency |
|Discover |4 |20-29 |10 |
|Proprietary Card |70 |30-39 |30 |
|MasterCard |14 |40-49 |33 |
|Visa |10 |50-59 |16 |
|American Express |2 |60-69 |7 |
|Total |100 |70-79 |4 |
|Items |% Frequency |
|1-4 |76 |
|5-8 |18 |
|9-12 |4 |
|13-16 |1 |
|17+ |1 |
|Total |100 |
From the data above, I can make many observations. Upon looking at the type of customer, it appears the promotional coupons were a success. For every 100 coupons, the store successfully brought in 70 customers from their competition. I can also...