P-Value Calculator
Calculate p-values for statistical hypothesis testing. Determine statistical significance of your results.
P-Value Calculator
Calculate p-values for statistical hypothesis testing. Determine the statistical significance of your results.
Test Parameters
Results
Enter test parameters and click "Calculate P-Value" to see results.
About This Calculator
Compute p-values for hypothesis testing and assess whether results are statistically significant at your chosen alpha level.
Formula
p-value depends on test statistic and distribution (z, t, chi-square, etc.)
Example
Given test statistic and degrees of freedom, compute tail probability under the null hypothesis.
When to Use
- A/B test analysis
- Research hypothesis testing
- Quality control statistics
Best Practices
- Define alpha before seeing results
- Report effect size with p-value
- Avoid interpreting p-value as practical importance
FAQ
Does p < 0.05 prove the alternative is true?
No. It indicates observed data is less likely under the null model.
Can a large sample force significance?
Yes. Very large samples can detect tiny, possibly unimportant effects.
Important Note
Statistical significance is not the same as practical significance.
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