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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.

Related Guides

Keywords:

p-value calculatorstatistical significancehypothesis testingstatisticsp value