Bonferroni correction calculator
Paste p values from one test family and enter the family-wise alpha level.
Corrected tests
| Test | p | Adjusted p | Threshold | Rejected |
|---|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | ||||
How do I use this page?
- Paste all p values.
- Enter family-wise alpha.
- Read the threshold, adjusted p values and decisions.
What this page does not do: Bonferroni is conservative, especially with many dependent tests. If the goal is to control the false-discovery proportion, consider an FDR procedure.
Further reading
Theory — what is the Bonferroni correction?
The Bonferroni correction divides the chosen family-wise alpha level by the number of tests performed in a given comparison family. Equivalently, each p value can be multiplied by the number of tests and capped at 1 — both approaches lead to the same significance conclusion. The method controls the probability of making at least one type I error across the whole family of tests, which makes it quite conservative when many comparisons are involved. The result does not depend on the order in which p values are entered.
Frequently asked questions
Does p-value order matter?
When should I use FDR instead?
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.