- The probability of making a Type II error.
- The probability of correctly rejecting the null hypothesis.
- The maximum acceptable probability of making a Type I error (false positive).
- The power of the test.
19. A medicinal researcher sets a significance level (alpha) of 0.05 for their hypothesis test. What is the technical meaning of this alpha level?
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