alleryStart learning →Rejecting the null hypothesis when it is actually true is called:
AA Type II error
BA sampling error
CA rounding error
DA Type I error
Answer & Solution
Correct answer: D. A Type I error
1. A test can go wrong in two distinct ways.
2. The decision is to reject the null when the null is true.
3. That incorrect decision is known as a Type I error.
4. Failing to reject a false null is the other kind of mistake.
_Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 9 'Hypothesis Testing with One Sample', sections 9.1-9.6_
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