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The power of a statistical test is the probability of rejecting the null hypothesis when it...

The power of a statistical test is the probability of rejecting the null hypothesis when it is false. True or False.

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Answer #1

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=> option A.True.
The power of a statistical test is the probability of rejecting the null hypothesis when it is false.is True

==> Bullard describes multiple ways to interpret power correctly:

Power is the probability of rejecting the null hypothesis when, in fact, it is false.
Power is the probability of making a correct decision (to reject the null hypothesis) when the null hypothesis is false.
Power is the probability that a test of significance will pick up on an effect that is present.
Power is the probability that a test of significance will detect a deviation from the null hypothesis, should such a deviation exist.
Power is the probability of avoiding a Type II error.

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