P-Value Calculator
The p-value is the probability of observing results as extreme as your data, assuming the null hypothesis is true. A small p-value (typically < 0.05) suggests the results are unlikely to be due to chance, providing evidence against the null hypothesis.
💡
Tip: A p-value < 0.05 does not mean the effect is large or practically important. A study with 10,000 participants can find statistically significant but trivially small effects. Always report effect sizes alongside p-values.
- 1Define null hypothesis H₀ and alternative hypothesis H₁
- 2Calculate the test statistic (z, t, F, or χ²) from your sample data
- 3Find the probability of getting a test statistic this extreme under H₀
- 4This probability is the p-value
z-score of 1.96=p = 0.05 (two-tailed)Boundary of the 95% confidence interval
z-score of 2.576=p = 0.0199% confidence level boundary
t-statistic 2.5, df=20=p ≈ 0.021Significant at α=0.05 but not α=0.01
🔒
100% Gratis
Ingen registrering
✓
Korrekt
Verifierade formler
⚡
Omedelbar
Resultat direkt
📱
Mobilanpassad
Alla enheter