@ai.data.tech: An educational graphic illustrating the inverse relationship between Cohen's d effect size and required sample size for group comparisons. It demonstrates that a small effect size (d = 0.18) requires a large sample (n = 486), while a larger effect size (d = 0.75) requires a much smaller sample (n = 29) to maintain statistical power. #Statistics #DataScience #EffectSize #SampleSize #ResearchMethods #HypothesisTesting #CohensD