Biostatistics & Research · single question
A diagnostic test fails to detect a disease that is actually present (a false-negative result). This corresponds to which statistical error?
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Correct answer: B. Type II error
- A. A Type I error (false positive) rejects a true null hypothesis—detecting disease that isn't there.
- B. Correct. A Type II error (false negative) fails to reject a false null hypothesis—missing disease that is present.
- C. Sampling error is variation from studying a sample rather than the whole population.
- D. Random error is non-systematic noise, not the specific false-negative concept.
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