In a clinical trial of a drug intended to help people stop​ smoking, 126 subjects were treated with the drug for 13 ​weeks, and 15 subjects experienced abdominal pain. If someone claims that more than 8​% of the​ drug 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 0.95. Interpret this value of the power of the test.
The power of 0.95 shows that there is a ....% chance of rejecting the

null
alternative
hypothesis of p

enter your response here when the true proportion is actually

enter your response here. That​ is, if the proportion of users who experience abdominal pain is actually

enter your response here​, then there is a

enter your response here​% chance of supporting the claim that the proportion of users who experience abdominal pain is

less
greater
than 0.08.

Respuesta :

The answer to the question has to be filled into the blank as

  • The power of 0.95 shows that there is a 95% chance of rejecting the null hypothesis if p = 0.08 when the true proportion is actually 0.15. That is, if the proportion of users who experience abdominal pain is actually 0.15. then there is a 95% chance of supporting the claim that the proportion of users who experience abdominal pain is greater than 0.08

What does the power of a statistical test mean?

This is described as the likelihood of the test correctly rejecting the null hypothesis on the basis that the alternative hypothesis is correct.

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