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PSM · Biostatistics: power of a study
Sample itemA trial protocol states that the study has 80% power to detect a 10 mmHg difference in blood pressure between the arms. What does this mean?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
B. If a true difference of 10 mmHg exists, there is an 80% chance the study will detect it as significant
Power is 1 minus beta, the probability of correctly rejecting a false null hypothesis. With 80% power the beta error, the risk of missing a real difference of the stated size, is 20%. Power rises with larger sample size, larger effect size and a higher alpha.
Option by option
A. The probability of a type I error is 80%
The type I error is alpha, conventionally 5%, not the power.
B. If a true difference of 10 mmHg exists, there is an 80% chance the study will detect it as significant (correct)
Correct. Power is the chance of detecting a real effect of the stated size.
C. The result will be clinically important in 80% of participants
Power concerns the study as a whole, not the proportion of participants who benefit.
D. There is an 80% probability that the null hypothesis is true
Power does not describe the probability that the null hypothesis is true.
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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