alleryStart learning →Failing to reject the null hypothesis when it is actually false is called:
AA Type II error
BA Type I error
CA sampling error
DA coverage error
Answer & Solution
Correct answer: A. A Type II error
1. The two error types are distinguished by which hypothesis is really true.
2. The decision is not to reject the null when, in fact, the null is false.
3. That incorrect decision is known as a Type II error.
4. Rejecting a true null is the Type I error instead.
_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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