What is a type II error?
Answer and explanation
Correct answer: C. Failing to reject a null hypothesis that is false
- Step 1: Hypothesis tests can make two kinds of error. Step 2. A type II error is a false negative, a missed true effect, and its probability is beta, with power equal to 1 minus beta. Answer: Failing to reject a null hypothesis that is false. Why not the others: Rejecting a true null is a type I error. Measurement error and sample selection are different problems.
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