Question

In hypothesis testing the power of a test is the probaility of

Answer 1

Answer:

Step-by-step explanation:

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.

Answer 2

This the answer

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