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What is meant by the “power of a test,” and why is it an important consideration in hypothesis testing?

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The power of a test is the probability that a statistical test will correctly reject the null hypothesis when it is false.

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The power of a test is the probability that a statistical test will correctly reject a false null hypothesis.

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