The effect size and the number of participants are two important determinants of
A)the minimum significant result.
B)experimental significance.
C)power.
D)alpha.

Question

Quizplus · Accepted Answer

Power is the probability of correctly rejecting a false null hypothesis. It depends on the effect size (the magnitude of the difference or relationship between groups or variables) and the sample size (number of participants). A larger effect size or larger sample size leads to greater power, meaning the study is more likely to detect a significant effect if it exists. The minimum significant result and alpha are determined by the researcher, while experimental significance is the same as statistical significance and is based on the p-value.

The Effect Size and the Number of Participants Are Two