The FruitStuff Corporation, which manufactures dried fruit snacks, is looking to find the best location within a store for displaying its product. There are several candidate display locations: in the check-out line (to encourage "impluse" buying), on a shelf with other snack foods, as a separate display in an aisle, etc. FruitStuff is recording the amount of money made in sales per week for the different display locations. For each experimental scenario below, choose all tests that could be used for that scenario. Assume that the relevant assumptions for the populations (type of distribution, variance, etc.) are satisfied. Independent-samples t test (a) FruitStuff is comparing two display locations. For each Dependent-samples t test location, FruitStuff chooses a different random sample One-way, independent-samples ANOVA of 32 weekly sales amounts. One-way, repeated-measures ANOVA O Two-way (independent-samples) ANOVA Independent-samples t test (b) FruitStuff is comparing four display locations. It chooses 16 stores at random and has each store Dependent-samples t test display the snacks in one display location for a week, then switch to another display location for a week, and One-way, independent-samples ANOVA so on until all the stores have displayed the snacks in One-way, repeated-measures ANOVA K all four locations. (Order effects are balanced.) Two-way (independent-samples) ANOVA (c) FruitStuff is comparing two display locations, and it Independent-samples t test also is looking at the possible effect of the type of store: supermarket versus convenience mart. For each Dependent-samples t test display location, FruitStuff has selected 32 weekly One-way, independent-samples ANOVA sales amounts, with 16 of these sales amounts coming from supermarkets and 16 coming from convenience One-way, repeated-measures ANOVA marts. (The amounts are otherwise chosen at random.) Two-way (independent-samples) ANOVA