The probability of rejecting the null hypothesis when the null hypothesis is false is known as the power of the test.

Question

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This statement accurately describes the concept of power in hypothesis testing. Power is the probability of correctly rejecting the null hypothesis when it is false, meaning that there is actually an effect in the population being studied. It is important to have high power in a test to avoid Type II errors, or failing to reject the null hypothesis when it should be rejected.

The Probability of Rejecting the Null Hypothesis When the Null