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PSM · Biostatistics
Sample itemWhat is a Type I error in hypothesis testing?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
C. Concluding an effect exists when it does not
A Type I error is a false-positive conclusion: rejecting the null hypothesis even though no true effect or difference exists.
Option by option
A. Selecting too many participants
Large samples alone do not define Type I error.
B. Measuring an exposure imprecisely
Imprecision may contribute to error but is not its definition.
C. Concluding an effect exists when it does not (correct)
Correct: a false positive is Type I error.
D. Missing a real effect that exists
A false negative is Type II error.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
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