In: Statistics and Probability
Movie Theater Attendance The data shown are the weekly admissions, in millions, of people attending movie theaters over three different time periods. At α = 0.05, is there a difference in the means for the weekly attendance for these time periods?
Use the traditional method of hypothesis testing unless otherwise specified.
a. State the hypotheses and identify the claim.
b. Find the critical value.
c. Compute the test value.
d. Make the decision.
e. Summarize the results.
1950–1974 |
1975–1990 |
1991–2000 |
58.0 |
17.1 |
23.3 |
39.9 |
19.9 |
26.6 |
25.1 |
19.6 |
27.7 |
19.8 |
20.3 |
26.5 |
17.7 |
22.9 |
25.8 |
H0: μ1 = μ2 = μ3. H1: At least one mean is different from the others (claim); C.V. = 3.89; d.f.N. = 2; d.f.D. = 12; α = 0.05; F = 1.89; do not reject. There is not enough evidence to support the claim that at least one mean is different from the others.
1) Null and Alternative Hypothesis:
H0: μ1 = μ2 = μ3.
H1: At least one mean is different from the others
2) Critical value of F = 3.885 at 5% los and (2,12) df from F- tables
Reject H0 if test statistic F > F critical value (=3.885)
3) From the given data
Total | Ti^2/ni | ||||||
1950-1974 | 58 | 39.9 | 25.1 | 19.8 | 17.7 | 160.5 | 5152.05 |
1975-1990 | 17.1 | 19.9 | 19.6 | 20.3 | 22.9 | 99.8 | 1992.008 |
1991-2000 | 23.3 | 26.6 | 27.7 | 26.5 | 25.8 | 129.9 | 3374.802 |
Total G | 390.2 | 10518.86 |
ANOVA Table:
Here F-value = 1.89 < F critical value so we accept H0
Thus we conclude that there is no difference in the means for the weekly attendance for these time periods.
i.e. There is not enough evidence to support the claim that at least one mean is different from the others.