12-28.
1. Having multiple shoppers make purchases at the store and record the sales receipts allows the station to account for any variation in the prices. By having the same shopping lists for all three stores, the prices will be comparable between each store. It would be a lot more difficult to compare prices at different stores if only high price items such as electronics or furniture were purchased at Store A, but only discounted dollar items were purchased at Store B. 2. Ho: X = X = X3; HA: The mean for at least one store is different than the others F = 952.6155 > Fcrit = 1.867332; fail to reject the null hypothesis. Blocking is effective. 3. Ho: X, = X, = X3: HA: The mean for at least one store is different than the others P = 2.68x10-10 < 0.05 = a; Reject the null hypothesis. There is sufficient evidence to suggest that one of the stores has a mean sales receipt price that is different from the other stores. 4. The p-values for all three sets of T-Tests are smaller than the alpha values which shows that the mean receipt price for all three stores have a statistically significant difference from each other. Based on the data, Store 3 had the highest mean receipt price at $90.6735.