Mathematics · Hypothesis Testing and Statistics
A Type I error rate (α) in hypothesis testing represents the probability of:
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1Choosing an incorrect sample size
- 2Failing to calculate variance correctly
- 3Failing to reject a false null hypothesis (false negative)
- 4Rejecting a true null hypothesis (false positive)✓
Correct answer
Rejecting a true null hypothesis (false positive)
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