Biostatistics & Research · single question
What is a Type II error in research?
Show answer and explanation
Correct answer: B. Failing to reject a false null hypothesis (false negative)
Type II error (β) = failing to detect a true difference — concluding no effect when one exists. This is a false negative.
- A. ❌ Using incorrect statistical test is a methodological error, not specifically Type II.
- B. ✅ CORRECT – Type II error = false negative; null hypothesis is incorrectly retained.
- C. ❌ Over-sampling relates to study design bias.
- D. ❌ Rejecting a true null hypothesis is Type I error (false positive).
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