📊 Statistical Power Calculator

A Priori · Post Hoc · Sensitivity · Compromise
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Required Sample Size (per group)
64
You need 64 subjects per group to have an 80% chance of detecting a medium effect (d=0.5) at α=0.05.
✓ Real‑time · jStat powered · Reproducible

📘 Power Analysis Guide

Statistical power is the probability of detecting an effect if it truly exists. A common target is 80%. Use this tool to plan sample sizes before running experiments.

❓ FAQ

What is Cohen's d?

Cohen's d measures the standardized difference between two means. d=0.2 is small, 0.5 medium, 0.8 large.

Why is power usually set to 80%?

It balances the risk of Type II error with practical sample size constraints.

What is sensitivity analysis?

It finds the smallest effect size you could detect with your given sample size and power.