Why Does Sample Size Matter?

Sample size directly affects a study's statistical power and the reliability of its results. Too small a sample may fail to detect a real effect, while an unnecessarily large one wastes resources.

A power analysis performed before the study helps determine an appropriate sample based on the target effect size and significance level.