Question

What is a Type II error in hypothesis testing?

• A. Rejecting a true null hypothesis
• B. Failing to reject a false null hypothesis
• C. Accepting a true null hypothesis
• D. Rejecting both null and alternative hypotheses

Hint:

Remember: \textbf{Type I Error} = False positive (rejecting a true \(H_0\)). \textbf{Type II Error} = False negative (failing to reject a false \(H_0\)).

Answer 1

The Correct Option is B