A supermarket manager observed the sales of a product (Sales) for several consecutive weeks. During this period, sometimes a poster was displayed (Poster, either yes or no) and one of three price reductions was in place (Discount, which was either none, a small discount or a large discount). Analyse the selected SPSS output in Figure 1 (on the next page) and discuss what conclusions can be drawn from the data. In your analysis, be sure to address at least the following: ? Test the significance of the variables individually and the interaction between them and interpret the results. ? How you would use the results to inform your promotion strategy for maximising sales of the product in this supermarket.

Figure 1 Descriptive Statistics Dependent Variable: Sales Price reduction Poster displayed Mean Std. Deviation N None No 10.00 2.828 2 Yes 38.00 2.828 2 Total 24.00 16.330 Small discount No 18.00 2.828 2 Yes 40.00 2.828 2 Total 29.00 12.910 + Large discount No 31.50 2.121 2 Yes 42.00 2.828 2 Total 36.75 6.397 4 Total No 19.83 9.928 6 Yes 40.00 2.828 6 Total 29.92 12.624 12 Tests of Between-Subjects Effects Dependent Variable: Sales Type I Sum of Source Squares df Mean Square F Sig. Model 12448.500 6 2074.750 279.742 000 Discount 11070.250 3 3690.083 497.539 000 Poster 1220.083 1220.083 164.506 000 Discount * Poster 158.167 2 79.083 10.663 011 Error 44.500 6 7.417 Total 12493.000 12SD 40 30 Estimated Marginal Means 20 10 Estimated Marginal Means of Sales / None Small discount Large discount Price reduction Poster displayed No Yes