What Happens When You Overlook Small Sample Sizes?
Ignoring small sample sizes can result in several issues:
Misleading Metrics: Small sample sizes can exaggerate the effectiveness of certain strategies, leading to false positives. Inconsistent Results: Results derived from small samples can be highly variable, lacking the consistency needed for reliable decision-making. Wasted Resources: Implementing strategies based on unreliable data can lead to wasted time, money, and effort.