How Effect Size, Sample Size, Power Interact with Each Other

This tutorial explains how effect size, sample size, and power interact with each other. In particular, I explain three remarks as follows. Remark 1: For a given effect size, as sample size increases, the power also increases. Remark 2: For a given power, as effect size increases, the needed sample size decreases. Remark 3: For a given sample size, as effect size increases, the power also increases. 0:00 - Definitions of effect size, sample size, and power 2:49 - For a given effect size, how sampe size impacts power 5:14 - For a given power, how effect size impacts the needed sample size 7:01 - For a given sample size, how effect size impacts power PDF used in the tutorial: How Effect Size, Sample Size, and Power Interact with Each Other https://github.com/tidydatayt/effect_... Webpage version of the tutorial: https://tidydatayt.github.io/how-effe... Related Tutorials: 1. Meaning of Cohen's d:    • Meaning of Cohen's d   2. Alpha and Beta in Hypothesis Testing:    • Alpha and Beta in Hypothesis Testing   3. How Sample Size Impacts Statistical Power:    • How Sample Size Impacts Statistical Power   4. How Effect Size Impacts Sample Size:    • How Effect Size Impacts Sample Size   Disclaimer: The author accepts no responsibility for the topicality, correctness, completeness or quality of the information provided.