Suppose that you’d run the randomized block design (see For Example: “Designing an experiment for Ottawa–Toronto flights”). You would have had two levels of the (blocking) factor City and the same four levels of Offer (Coupon, Card, Movie, and No Offer). The ANOVA shows a significant interaction effect between City and Offer. Explain what that means. An analysis of the two groups separately shows that for the Ottawa/Toronto group, the P-value for testing the four offers is 6 0.0001, but for the Montreal group, the P-value is 0.2354. Is this consistent with a significant interaction effect? What would you tell the marketing group?