A manufacturer of novelty items is undecided about the price to charge for a new product. The marketing manager knows that it should sell for about $10 but is unsure of whether sales will vary significantly if it is priced at either $9 or $11. To conduct a pricing experiment, she distributes the new product to a sample of 60 stores belonging to a certain chain of variety stores. These 60 stores are all located in similar neighborhoods. The manager randomly selects 20 stores in which to sell the item at $9, 20 stores to sell it at $10, and the remaining 20 stores to sell it at $11. Sales at the end of the trial period were recorded and analyzed as shown below:
ANOVA
Source | SS | df | MS | F | p-value
Treatment | 5010.63 | 2 | 2505.3 | 3.41 | 0.04
Error | 41897.55 | 57 | 735.0 | |
Total | 46908.18 | 59 | | |
Post hoc p-value for pairwise tests
| | Price-$11 | Price-$10 | Price-$9
| | 133.3 | 151.5 | 153.6
Price-$11 133.3 | | |
Price-$10 151.5 | 0.0376 | |
Price-$9 153.6 | 0.0210 | 0.8074 |