Friedman test calculator
Each row represents the same block or participant, and each field represents a different condition.
Condition ranks
| Condition | Rank sum | Mean rank |
|---|---|---|
| Fill in the fields above — the result is computed on this page. | ||
How to use this page
- Paste condition measurements in matching order.
- Review rank sums and mean ranks.
- Read Q, df and the p-value.
What this page does not do: The p-value is a chi-square approximation. Small block counts may require an exact or permutation method, and post-hoc comparisons need multiplicity adjustment.
Further reading
The Friedman test is a nonparametric comparison of at least two related conditions. It ranks observations within each block and tests whether condition rank sums differ more than expected under the null hypothesis.
The calculator corrects the statistic for tied ranks and obtains an asymptotic p-value from a chi-square distribution with k − 1 degrees of freedom.
Frequently asked questions
May conditions have different lengths?
No. Every block must have one observation in each compared condition.
What follows a significant result?
Run planned post-hoc comparisons for related data with an appropriate multiplicity correction.
See also
Beta distribution calculator
Calculate beta density, CDF, upper tail and quantile together with its mean and variance.
Chi-square test calculator
Calculate chi-square goodness of fit, independence, or a chi-square critical value.
Continuous uniform distribution calculator
Calculate density, CDF, upper tail, quantile, mean and variance for U(a,b).