Reference no: EM13835424

1. What is the relationship between the amount of time spent shopping, Short (under 15 minutes) or Long (over 15 minutes), and the age of the shopper, Young (under 22) or Old (over 22), and the amount of money spent by shoppers in a music store.

Which interpretation is MOST consistent with Scenario C?

A. Length of time makes no difference in the amount of money spent.

B. Age makes no difference in the amount of money spent.

C. Younger buyers spend more money when they shop for a shorter time whereas older buyers spend more money when they shop for a longer time.

D. Neither age nor length of time makes a difference in amount of money spent.

2. The scenarios below are possible results of a study in which participants completed a measure of how important religion was to them personally. Participants are either from a Rural or Urban area, and are either Poor or Rich.

Which of the following statements is true based on the information presented in Scenario C?

A. On the average, religion is more important to rich people than to poor people.

B. The column means show that religion is more important to poor people.

C. The row means show that there is no difference between rich and poor in their average interest in religion.

D. There is a clear interaction effect in which poor people value religion more in urban areas, while rich people value it more in rural areas.

3. A repeated measures analysis of variance is to an ordinary analysis of variance as a t test for dependent means is to:

A. a t test for a single sample.

B. a t test for independent means.

C. a two-way analysis of variance.

D. any factorial analysis of variance.

4. In a 2 × 3 analysis of variance, the number of null hypotheses is:

A. 1

B. 2

C. 3

D. 6

5. A 2 × 3 factorial design has:

A. two variables that divide the groups.

B. six variables that divide the groups.

C. three variables that divide the groups.

D. five variables that divide the groups.

6. When is it inappropriate to conduct a t test for the correlation coefficient?

A. When the correlation is negative

B. When the correlation is positive

C. When the relationship is linear

D. When the relationship is nonlinear