A theater seats 310 people. Out of the 310 people, 42 of them are dressed up. Use these results with a .05 significance level to test the claim that greater than 15% of people will dress up at the theater.
This is a binomial proportion test. There are only two outcomes either people are dressep up or not.
X:No. of people dressed up in the sample
X = 42 n = 310
Sample = x /n
= 0.1355
We want to test the claim that more than 15% will dress up. Therefore this is one right tailed test
Test
Null: p = 15% (the proportion of people dressed up will be 15%)
Alternative: p > 15% (the proportion of people dressed up will be greater than 15%)
Test Stat :
(null hypothesis) = 15%
Test Stat = -0.7468
p-value = P( Z > |Test stat|)
=P( Z > 0.75)
= 1 - P( Z <0.75)
=1 - 0.77337
p-value = 0.22663
Since p-value > 0.05 (level of significance)
We do not reject the null hypothesis at 5%. There is not sufficient evidence to support that proportion of people dressed up will be greater than 15% at the theatre.
That means the claim fails.
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