Which of the following is true about sample size?
A) An adequate sample size is particularly important to detect differences when they do in fact exist.
B) Evaluating the possibility of a Type I error will help determine sample size.
C) Finding a significant difference in study groups occurs most often with smaller samples.
D) Sample size is especially important to support significant findings.

Question

Quizplus · Accepted Answer

Evaluating the adequacy of the sample size is very important when no differences have been found. Too small a sample can result in no difference being detected, even when there actually is one.
Evaluating the possibility of a Type II error is a "power analysis" and will help determine sample size. Evaluating the adequacy of the sample size is very important when no differences have been found. Too small a sample can result in no difference being detected, even when there actually is one.
Too small a sample can result in no difference being detected, even when there actually is one.
Questions about the sample size occur when there are no significant findings. Evaluating the adequacy of the sample size is very important when no differences have been found. Too small a sample can result in no difference being detected, even when there actually is one.

Which of the Following Is True About Sample Size