Advertising: Meal Deliveries Does the type of advertisement make a difference in the average daily number of people responding to the ad? Is there a difference in average daily number of people responding to an ad during the summer season as compared to the fall season? Fresh Chef is a mealkit provider that delivers recipes and locally grown ingredients to customers so they can create delicious meals at home. To attract new customers, Fresh Chef ran ads in the summer and fall season offering discount codes for new customers. In addition, different advertising methods were used to distribute the ads.

Ads running based on the advertising method carried different promotion codes. Different codes were also used for summer and fall ads. The number of people responding to the ads for the seasons were selected at random and recorded according to the promotion codes. The results follow:

Season Advertising Method Physical Mail Web Site Ad Billboard Ad Summer 12 15 11 22 14 17 2 4 3 12 15 20 22 18 12 5 0 1 Fall 20 23 25 32 26 28 13 16 13 33 15 17 31 25 41 15 14 10.

(a) List the factors and the number of levels for each factor.

(b) Use the following Minitab printout and the F distribution table (Table 8 of Appendix II) to test for interaction between the variables. Use a 1%
level of significance.

(c) If there is no evidence of interaction between the factors, test for a difference in mean number of daily responses for the levels of the season factor.
Use a 5 0.01.

(d) If there is no evidence of interaction between the factors, test for a difference in mean number of daily responses for the levels of the advertising method factor. Use a 5 0.01.

Minitab Printout for Mean Number of Responses per Season Analysis of Variance for Response Source DF SS MS F P Season 1 1024.0 1024.0 55.28 0.000 Advertising Method 2 1573.6 786.8 42.48 0.000 Interaction 2 38.0 19.0 1.03 0.371 Error 30 555.7 18.5 Total 35 3191.2.

AppendixLO1