NAPLEX (North American Pharmacist Licensure Examination) Practice Exam

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What does a Type II error occur?

  1. When the null hypothesis is wrongly accepted

  2. When the null hypothesis is correctly rejected

  3. When a correct hypothesis is accepted

  4. When no hypothesis is formulated

The correct answer is: When the null hypothesis is wrongly accepted

In statistics, a Type II error occurs when the null hypothesis is wrongly accepted. This means that the test fails to reject a null hypothesis that is actually false. In practical terms, this means that the test fails to detect an effect that is present in the population. Regarding the other options: B. When the null hypothesis is correctly rejected: This is incorrect because correctly rejecting the null hypothesis would be the correct outcome, not a Type II error. C. When a correct hypothesis is accepted: This is incorrect because a Type II error specifically refers to accepting a false null hypothesis, not a correct hypothesis. D. When no hypothesis is formulated: This is incorrect because a Type II error is related to the acceptance of a false null hypothesis, regardless of whether a hypothesis was formulated or not.

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