19.13 (15 points) a, b, c, d, f

Refer to Eye contact effect Problem 19.I 2. Assume that ANOVA model (19.23) is applicable.

1. Prepare an estimated treatment means plot. Does it appear that any factor effects are present? Explain.

b. Set up the analysis of variance table. Does any one source account for most of the total variability in the success ratings in the study? Explain.

c. Test whether or not interaction effects are present; use a= .0l. State the alternatives,

decision rule, and conclusion. What is the P-value of the test?

d. Test whether or not eye contact and gender main effects are present. In each case, use a = .0l and state the alternatives, decision rule, and conclusion. What is the P-value of each test? Is it meaningful here to test for main factor effects? Explain

..

f. Do the results in parts (c) and (d) confirm your graphic analysis in part (a)?

19.31 (5 points) a, b

Refer toEye contact effectProblems 19.12 and 19.13.

Eye contact effect.In a study of the effect of applicant's eye contact (factor A) and personnel officer's gender t\-actor B) on the personnel officer's assessment of likely job success of applicant, IO male and IO female personnel officers were shown a front view photograph of an applicant's face and were asked to give the person in the photograph a success rating on a scale of O (total failure) to 20 (outstanding success). Half of the officers in each gender group were chosen at random to receive a version of the photograph in which the applicant made eye contact with the camera lens. The other half received a version in which there was no eye contact. The success ratings follow.

Factor B

(gender of officer)

Factor A			j=l	j=2
(eye contact)			Male	Female
i = 1 Present			11	15
			7	12
			10	16
i = 2 Absent			12	14
			16	17
			14	18

1. Estimate ₂₁ with a 99 percent confidence interval. Interpret your interval estimate.
2. Estimate ₁ with a 99 percent confidence interval. Interpret your interval estimate.