⚡ Statistical Power Visualizer

See how power, Type I & Type II errors change with effect size, sample size, alpha & tails
Effect size (d)0.50
Sample size (n)100
Alpha (α)0.05
Test type
🔵 Power (1−β)0.516
🟠 Beta (Type II error)0.484
🔴 Alpha (Type I error)0.050
🟣 n for 80% power193
⚡ Adjust sliders — distributions update instantly
Null Alternative α (Type I) β (Type II) Power Critical value
📘 Type I error (α): Rejecting true null — false positive.  |  📙 Type II error (β): Failing to reject false null — false negative.  |  ✅ Power (1−β): Probability of detecting a true effect. (Shaded areas correspond to legend)
© 2025 abwex.com