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PSM · Biostatistics: type I error
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
B. Rejecting a true null hypothesis
A type I error is a false-positive conclusion: concluding there is an effect when the null hypothesis is true. The chosen alpha level sets the tolerated probability of this error under the model.
Option by option
A. Using a small sample
Small samples can affect power but are not themselves type I error.
B. Rejecting a true null hypothesis (correct)
Correct. This is the definition of a false positive in hypothesis testing.
C. Calculating a median incorrectly
Calculation mistakes are not the statistical definition.
D. Failing to reject a false null hypothesis
Failing to reject a false null 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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