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1. In Chapter 11, we described a research study in which the color red appeared to increase men's attraction to women (Elliot & Niesta, 2008).

1. In Chapter 11, we described a research study in which the color red appeared to increase men's attraction to women (Elliot & Niesta, 2008). The same researchers have published other results showing that red also increases women's attraction to men but does not appear to affect judgments of same sex individuals (Elliot, et al., 2010). Combining these results into one study produces a two-factor design in which men judge photographs of both women and men, which are shown on both red and white backgrounds. The dependent variable is a rating of attractiveness for the person shown in the photograph. The study uses a separate group of participants for each condition. The following table presents data similar to the results from previous research.

a. Use a two-factor ANOVA with a= .05 to evaluate the main effects and the interaction.

Person Shown in Photograph______________

Female Male

Whiten= 10 n= 10

M = 4.5 M= 4.4

SS= 6SS = 7

Background Color

For Photograph

Red

n = 10 n= 10

M= 7.5M= 4.6

SS = 9 SS = 8

Source SS df MS F

Between Treatments

photograph color

Person in photograph

Interaction

Within Treatment

Total

F-criticalA=

F-criticalB=

F-criticalAXB=

Is there a main effect for Factor A?

Is there a main effect for Factor B?

Is there an interaction?

b. Describe the effect of background color on judgments of males and females.

The background color of a photography ____________ the judgement of males and females. When the background color is ________, the rating of attractiveness for the person shown in a photograph from males and females is _________

2.It would be appropriate to use an ANOVA to compare three different car models on customer satisfaction.

True or false

3. You conducted an independent-measures ANOVA with the F-ratio for Factor A being F(2, 14) = 4.41. Which of the following statements is true regarding the decision to reject the null hypothesis? (Hint: Use the F Distribution Table in Appendix B.4 to help answer this question.)

A. Reject the null at alpha .05, but fail to reject the null at alpha .01.

B. Fail to reject the null at alpha .05 and at alpha .01

C. Reject the null hypothesis at alpha .05 and at alpha .01.

D. There is not enough information provided to answer the question

4. If someone wishes to determine the significance of the F-ratio for Factor A at alpha .05, which two pieces of information will that person need?

A. The Between-Treatments degrees of freedom and the Within-Treatments degrees of freedom.

B. The Factor A degrees of freedom and the Within-Treatments degrees of freedom.

C. The Factor A degrees of freedom and the Between-Treatment degrees of freedom.

D. The Factor A degrees of freedom and the Factor B degrees of freedom.

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