Discussion
Which one of the following statements is false ?
Answer: C
The false statement is 1 - α is called power of the test.
α is the probability of a Type-I error (rejecting a true null hypothesis), and β is the probability of a Type-II error (accepting a false null hypothesis). The power of a test is the probability of correctly rejecting a false null hypothesis, which is 1 - β.
1 - α is the confidence level, the probability of correctly accepting a true null hypothesis, not the power. The other three statements are correct.
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