What does the 'power of a test' signify in hypothesis testing?
- The probability of correctly rejecting a false null hypothesis
- The probability of incorrectly accepting a true null hypothesis
- The probability of making a Type I error
- The probability of making a Type II error
The power of a statistical test is the probability that it correctly rejects a false null hypothesis. In other words, it is 1 minus the probability of making a Type II error.
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