In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the drug for 11 weeks, and 18 subjects experienced abdominal pain. If someone claims that more than 8% of the drug's users experience abdominal pain, that claim is supported with a hypothesis test conducted with a 0.05 significance level. Using 0.17 as an alternative value of p, the power of the test is 0.96. Interpret this value of the power of the test. The power of 0.96 shows that there is a p= when the true proportion is actually abdominal pain is actually, then there is a of users who experience abdominal pain is (Type integers or decimals. Do not round.) % chance of rejecting the hypothesis of That is, if the proportion of users who experience % chance of supporting the claim that the proportion than 0.08.

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In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the
drug for 11 weeks, and 18 subjects experienced abdominal pain. If someone claims that more than
8% of the drug's users experience abdominal pain, that claim is supported with a hypothesis test
conducted with a 0.05 significance level. Using 0.17 as an alternative value of p, the power of the test
is 0.96. Interpret this value of the power of the test.
The power of 0.96 shows that there is a
p= when the true proportion is actually
abdominal pain is actually, then there is a
of users who experience abdominal pain is
(Type integers or decimals. Do not round.)
% chance of rejecting the
hypothesis of
That is, if the proportion of users who experience
% chance of supporting the claim that the proportion
than 0.08.
Transcribed Image Text:In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the drug for 11 weeks, and 18 subjects experienced abdominal pain. If someone claims that more than 8% of the drug's users experience abdominal pain, that claim is supported with a hypothesis test conducted with a 0.05 significance level. Using 0.17 as an alternative value of p, the power of the test is 0.96. Interpret this value of the power of the test. The power of 0.96 shows that there is a p= when the true proportion is actually abdominal pain is actually, then there is a of users who experience abdominal pain is (Type integers or decimals. Do not round.) % chance of rejecting the hypothesis of That is, if the proportion of users who experience % chance of supporting the claim that the proportion than 0.08.
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