If sample size is very small and the decision is to retain the null hypothesis,
A) there is greater likelihood that a real difference may have been overlooked
B) one may place special confidence in the correctness of the conclusion
C) if the conclusion is in error, the error is probably inconsequential
D) the level of significance should be raised

Question

Quizplus · Accepted Answer

With a small sample size, the statistical power is low, increasing the chance of a Type II error, where a real effect is not detected, leading to the retention of a false null hypothesis.

If Sample Size Is Very Small and the Decision Is