In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the drug for 12 weeks, and 10 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 0.19 as an alternative value of p, the power of the test is 0.96. Interpret this value of the power of the test hypothesis of p when the true proportion is actually. That is, if the The power of 0.96 shows that there is a% chance of rejecting the proportion of users who experience abdominal pain is actuallythen there is a% chance of supporting the claim that the proportion of users who experience abdominal pain is (Type integers or decimals. Do not round.) = than 0.08
In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the drug for 12 weeks, and 10 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 0.19 as an alternative value of p, the power of the test is 0.96. Interpret this value of the power of the test hypothesis of p when the true proportion is actually. That is, if the The power of 0.96 shows that there is a% chance of rejecting the proportion of users who experience abdominal pain is actuallythen there is a% chance of supporting the claim that the proportion of users who experience abdominal pain is (Type integers or decimals. Do not round.) = than 0.08
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question
In a clinical trial of a drug intended to help people stop smoking,
134
subjects were treated with the drug for
12
weeks, and
10
subjects experienced abdominal pain. If someone claims that more than
88%
of the drug's users experience abdominal pain, that claim is supported with a hypothesis test conducted with a
0.05
significance level. Using
0.19
as an alternative value of p, the power of the test is
0.96
Interpret this value of the power of the test.
look at image...

Transcribed Image Text:In a clinical trial of a drug intended to help people stop smoking, 134 subjects were treated with the drug for 12 weeks, and 10 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 0.19 as an alternative value of p, the power of the test is 0.96. Interpret this value of the power of the test
hypothesis of p
when the true proportion is actually. That is, if the
The power of 0.96 shows that there is a% chance of rejecting the
proportion of users who experience abdominal pain is actuallythen there is a% chance of supporting the claim that the proportion of users who
experience abdominal pain is
(Type integers or decimals. Do not round.)
=
than 0.08
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