Which of the following is true of a study with inadequate statistical power?
A) It is likely to result in a Type I error.
B) It has a good chance of producing a Type II error.
C) The relationship in the sample will almost certainly be extremely weak.
D) The null hypothesis will probably be rejected.

Question

Quizplus · Accepted Answer

Inadequate statistical power means the sample size is too small to detect a true effect. This increases the likelihood of a Type II error, which is failing to reject the null hypothesis when there is a true effect present. Option A is incorrect because a Type I error occurs when the null hypothesis is rejected when it is actually true, and this is more likely to occur with higher statistical power. Option C is incorrect because the strength of the relationship in the sample is not necessarily related to statistical power. Option D is also incorrect because inadequate statistical power makes it less likely that the null hypothesis will be rejected.

Which of the Following Is True of a Study with Inadequate