The probability of correctly rejecting a false null hypothesis is known as the ______ of the test.
- Power
- Size
- Type I error rate
- Type II error rate
The power of a test is the probability that it correctly rejects a false null hypothesis. This is essentially the ability of the test to detect an effect or difference if it truly exists. It's the complement of the Type II error rate (beta).
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