📊Statistical Power Calculator
0.2=small, 0.5=medium, 0.8=large
Statistical power (1−β) is the probability of correctly detecting a true effect. Power of 0.80 (80%) is the conventional minimum — a 20% chance of missing a real effect (Type II error).
- 1Power increases with: larger n, larger effect size, higher α
- 2Plan sample size to achieve 80% power before collecting data
- 3Power = Φ(|d|√(n/2) − z_α)
d=0.5 · n=50/group · α=0.05=Power ≈ 70% — underpoweredNeed ~64/group for 80% power
⭐
Fun Fact
A 2013 analysis found median statistical power in neuroscience studies was only 8–31% — meaning most studies were far too small to reliably detect the effects they were testing.
References
🔒
100% Gratis
Ingen registrering
✓
Præcis
Verificerede formler
⚡
Øjeblikkelig
Resultater med det samme
📱
Mobilvenlig
Alle enheder