When the alternative hypothesis is true, which one of these statements about the

Question

When the alternative hypothesis is true, which one of these statements about the power of a significance test is correct?

a)The larger the standard deviation, the smaller the power of significance test.

b) The power of a test is the probability of a Type I error.

c) The power of a test is the probability of not making a Type 2 error

d)The smaller the difference between the true and null values of a parameter, the larger the power.

e) The larger the sample size, the smaller the power of significance test.

Explanation / Answer

The correct answer is C) the power of a test is the probability that the test will reject the null hypothesis when the alternative hypothesis is true. OR it is the probability of not making a Type II error.

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