Movie studios often release films into selected markets and use the reactions of audiences to plan further promotions. In these data, viewers rate the film ona scale that assigns a score from 0 (dislike) to 100 (great) to the movie. The viewers are located in one of three test markets: urban, rural, and suburban. The groups vary in size. Complete parts (a) through (g) below. Assume a 0.05 level of significance whenever necessary. E Click the icon to view the movie rating data. Identify the F statistic. (Round to three decimal places as needed.) Identify the p-value. p-value =O (Round to three decimal places as needed.) Does this p-value agree with your visual impression of the differences among the groups? V the V p-value indicates that the v group variation outweighs the V group variation. (f) Do these data meet the conditions required for an ANOVA? Assume that the both samples were suitably randomized. Select all conditions below that are clearly not satisfied. OA. Nearly normal OB. No obvious lurking variables OC. Similar variances OD. It is reasonable to assume that all conditions are satisfied. DE. Evidently independent (g) What conclusions should the studio reach regarding the prospects for marketing this movie in the three types of markets? O A. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider repeating the study with a larger sample size. O B. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider repeating the study with a larger sample size. OC. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider performing post hoc tests. O D. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider performing post hoc tests.

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Market Rating D(Urban) D(Suburban)  
Urban 40 1 0  
Urban 60 1 0  
Urban 60 1 0  
Urban 65 1 0  
Urban 70 1 0  
Urban 60 1 0  
Urban 10 1 0  
Urban 70 1 0  
Urban 80 1 0  
Urban 25 1 0  
Urban 30 1 0  
Urban 55 1 0  
Urban 60 1 0  
Urban 70 1 0  
Urban 70 1 0  
Urban 55 1 0  
Urban 95 1 0  
Urban 95 1 0  
Urban 55 1 0  
Urban 75 1 0  
Urban 65 1 0  
Urban 75 1 0  
Urban 85 1 0  
Urban 70 1 0  
Urban 100 1 0  
Urban 55 1 0  
Urban 95 1 0  
Urban 75 1 0  
Urban 100 1 0  
Urban 95 1 0  
Urban 45 1 0  
Urban 5 1 0  
Urban 55 1 0  
Urban 30 1 0  
Urban 45 1 0  
Urban 75 1 0  
Urban 30 1 0  
Urban 40 1 0  
Suburban 100 0 1  
Suburban 80 0 1  
Suburban 90 0 1  
Suburban 65 0 1  
Suburban 30 0 1  
Suburban 40 0 1  
Rural 80 0 0  
Rural 75 0 0  
Rural 45 0 0  
Rural 40 0 0  
Rural 65 0 0  
Rural 45 0 0  
Rural 55 0 0  
Rural 25 0 0  
Rural 25 0 0  
Rural 45 0 0  
Movie studios often release films into selected markets and use the reactions of audiences to plan further promotions. In these data, viewers rate the film on a scale that assigns a score from 0 (dislike) to 100 (great) to the movie. The viewers are located in
one of three test markets: urban, rural, and suburban. The groups vary in size. Complete parts (a) through (g) below. Assume a 0.05 level of significance whenever necessary.
Click the icon to view the movie rating data.
ISUI CI
Identify the F statistic.
F =
(Round to three decimal places as needed.)
Identify the p-value.
p-value =
(Round to three decimal places as needed.)
Does this p-value agree with your visual impression of the differences among the groups?
the
p-value indicates that the
group variation outweighs the
group variation.
(f) Do these data meet the conditions required for an ANOVA? Assume that the both samples were suitably randomized. Select all conditions below that are clearly not satisfied.
O A. Nearly normal
O B. No obvious lurking variables
O C. Similar variances
O D. It is reasonable to assume that all conditions are satisfied.
O E. Evidently independent
(g) What conclusions should the studio reach regarding the prospects for marketing this movie in the three types of markets?
O A. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider repeating the study with a larger sample size.
O B. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider repeating the study with a larger sample size.
OC. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider performing post hoc tests.
O D. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider performing post hoc tests.
Transcribed Image Text:Movie studios often release films into selected markets and use the reactions of audiences to plan further promotions. In these data, viewers rate the film on a scale that assigns a score from 0 (dislike) to 100 (great) to the movie. The viewers are located in one of three test markets: urban, rural, and suburban. The groups vary in size. Complete parts (a) through (g) below. Assume a 0.05 level of significance whenever necessary. Click the icon to view the movie rating data. ISUI CI Identify the F statistic. F = (Round to three decimal places as needed.) Identify the p-value. p-value = (Round to three decimal places as needed.) Does this p-value agree with your visual impression of the differences among the groups? the p-value indicates that the group variation outweighs the group variation. (f) Do these data meet the conditions required for an ANOVA? Assume that the both samples were suitably randomized. Select all conditions below that are clearly not satisfied. O A. Nearly normal O B. No obvious lurking variables O C. Similar variances O D. It is reasonable to assume that all conditions are satisfied. O E. Evidently independent (g) What conclusions should the studio reach regarding the prospects for marketing this movie in the three types of markets? O A. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider repeating the study with a larger sample size. O B. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider repeating the study with a larger sample size. OC. The data is strong enough to conclude that not all markets are the same, but this does not say anything about which markets(s) are different. They should consider performing post hoc tests. O D. The data is not strong enough to reach a conclusion regarding the differences in ratings between markets. They should consider performing post hoc tests.
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