Which of the following best describes the relationship between sample size and significance testing?
A)In small samples only small effects will be deemed 'significant'.
B)Large effects tend to be significant only in small samples.
C)Large effects tend to be significant only in large samples.
D)In large samples even small effects can be deemed 'significant'.

Question

Quizplus · Accepted Answer

In large samples, the chance of detecting even small effects as statistically significant increases due to the increased power of the statistical test. In contrast, small samples have less power to detect effects and may only detect larger effects as significant. Therefore, the correct choice is D, which states that even small effects can be deemed significant in large samples.

Which of the Following Best Describes the Relationship Between Sample