Independent-samples t test FruitStuff is comparing three display locations, and it also is looking at the possible effect of the type of store: supermarket versus convenience mart. For each display location, FruitStuff has selected 16 weekly sales amounts, with 8 of these sales amounts coming Dependent-samples t test One-way, independent-samples ANOVA from supermarkets and 8 coming from convenience marts. (The One-way, repeated-measures ANOVA amounts are otherwise chosen at random.) Two-way (independent-samples) ANOVA Independent-samples t test Dependent-samples t test FruitStuff is comparing two display locations. It chooses 24 stores at random and has each store display the snacks in one location for a week, then switch to the other display location for a week. (The order is balanced.) One-way, independent-samples ANOVA One-way, repeated-measures ANOVA Two-way (independent-samples) ANOVA Independent-samples t test Dependent-samples t test FruitStuff is comparing three display locations. For each location, FruitStuff chooses a different random sample of 16 weekly sales One-way, independent-samples ANOVA amounts. One-way, repeated-measures ANOVA Two-way (independent-samples) ANOVA

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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
FruitStuff is comparing three display locations, and it also is looking
at the possible effect of the type of store: supermarket versus
convenience mart. For each display location, FruitStuff has selected
16 weekly sales amounts, with 8 of these sales amounts coming
Dependent-samples t test
One-way, independent-samples ANOVA
from supermarkets and 8 coming from convenience marts. (The
One-way, repeated-measures ANOVA
amounts are otherwise chosen at random.)
Two-way (independent-samples) ANOVA
Independent-samples t test
Dependent-samples t test
FruitStuff is comparing two display locations. It chooses 24 stores at
random and has each store display the snacks in one location for a
week, then switch to the other display location for a week. (The order
is balanced.)
One-way, independent-samples ANOVA
One-way, repeated-measures ANOVA
Two-way (independent-samples) ANOVA
Independent-samples t test
Dependent-samples t test
FruitStuff is comparing three display locations. For each location,
FruitStuff chooses a different random sample of 16 weekly sales
One-way, independent-samples ANOVA
amounts.
One-way, repeated-measures ANOVA
Two-way (independent-samples) ANOVA
Transcribed Image Text:Independent-samples t test FruitStuff is comparing three display locations, and it also is looking at the possible effect of the type of store: supermarket versus convenience mart. For each display location, FruitStuff has selected 16 weekly sales amounts, with 8 of these sales amounts coming Dependent-samples t test One-way, independent-samples ANOVA from supermarkets and 8 coming from convenience marts. (The One-way, repeated-measures ANOVA amounts are otherwise chosen at random.) Two-way (independent-samples) ANOVA Independent-samples t test Dependent-samples t test FruitStuff is comparing two display locations. It chooses 24 stores at random and has each store display the snacks in one location for a week, then switch to the other display location for a week. (The order is balanced.) One-way, independent-samples ANOVA One-way, repeated-measures ANOVA Two-way (independent-samples) ANOVA Independent-samples t test Dependent-samples t test FruitStuff is comparing three display locations. For each location, FruitStuff chooses a different random sample of 16 weekly sales One-way, independent-samples ANOVA amounts. One-way, repeated-measures ANOVA Two-way (independent-samples) ANOVA
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