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 do I 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
Theory — what is the Friedman test?
The Friedman test is a nonparametric comparison of at least two related conditions, such as the same participants measured several times. Within each block the observations are ranked, and the calculator checks whether the rank sums of the conditions differ more than expected under the baseline hypothesis. Every block needs an observation for each compared condition, since groups of unequal length are not allowed.
Frequently asked questions
May conditions have different lengths?
What follows a significant result?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.