P-Value Calculator
Calculate p-value for statistical hypothesis testing. Supports z-test, t-test, chi-square test, and F-test with one-tailed and two-tailed options.
Related Calculators
You might also find these calculators useful
P-Value Calculator for Statistical Testing
Calculate p-values for hypothesis testing using z-scores, t-statistics, chi-square values, or F-statistics. Get accurate statistical significance with support for one-tailed and two-tailed tests. Essential for research, data analysis, and academic studies.
What is a P-Value?
A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming the null hypothesis is true. A smaller p-value indicates stronger evidence against the null hypothesis. In most research, p-values less than 0.05 are considered statistically significant.
P-Value Interpretation
p < α → Reject H₀How to Use This Calculator
P-Value Applications
Medical Research
Test drug efficacy and treatment outcomes.
A/B Testing
Determine if website changes improve conversion rates.
Quality Control
Verify manufacturing processes meet specifications.
Academic Research
Validate hypotheses in social sciences, psychology, and economics.
Frequently Asked Questions
A p-value of 0.05 means there's a 5% probability of observing your results (or more extreme) if the null hypothesis were true. At the conventional α = 0.05 significance level, this is borderline significant—results are often reported as 'marginally significant' at this threshold.