The success of a major movie is often determined by the amount of money that a movie makes (in millions of dollars). Suppose we want to test the claim that movies with three different ratings (PG, PG-13, and R ratings) bring in the same amount of money on average, using a 0.05 significance level. Below are the ANOVA results of this analysis.
df | SS | MS | F-value | Pr(>F) | |
Groups | 2 | 44461.204 | 22230.602 | 2.781 | .0774 |
Residuals | 31 | 247806.1 | 7993.744 | ||
Total | 33 | 292267.3 |
A. State the null and alternative hypotheses in symbols and in words
B. State the conclusion of the hypothesis test in context of the original claim.
Part A
Null hypothesis: H0: Movies with three different ratings (PG, PG-13, and R ratings) bring in the same amount of money on average.
Alternative hypothesis: Ha: At least one group of movies with three different ratings (PG, PG-13, and R ratings) bring in different amount of money on average.
H0: µ1 = µ2 = µ3 versus Ha: At least one µ is different.
Or
H0: µ1 = µ2 = µ3 versus Ha: µ1 ≠ µ2 ≠ µ3
H0: µ1 = µ2 = µ3 versus Ha: µ1 = µ2 ≠ µ3
H0: µ1 = µ2 = µ3 versus Ha: µ1 ≠ µ2 = µ3
B. State the conclusion of the hypothesis test in context of the original claim.
From given ANOVA table, we have
P-value = 0.0774
α = 0.05
P-value > α = 0.05
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that Movies with three different ratings (PG, PG-13, and R ratings) bring in the same amount of money on average.
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