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PSM · Biostatistics
Sample itemIn hypothesis testing, a Type I error is:
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
B. Rejecting a null hypothesis that is actually true
A Type I (alpha) error is a false positive: you claim an effect that is not there. A Type II (beta) error is a false negative. Power is 1 − beta.
Option by option
A. Failing to detect a real difference
That is also a Type II error.
B. Rejecting a null hypothesis that is actually true (correct)
Correct.
C. A mistake in measurement
Measurement mistakes are bias, not Type I error.
D. Accepting a null hypothesis that is actually false
That is a 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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