Bonferroni Correction Calculator

Adjust significance levels for multiple comparisons to control Type I error

Original Alpha (α):

P-Values (comma-separated, optional):

Number of Tests (if no p-values provided):

Bonferroni: α_adj = α / m (most conservative)

Sidak: α_adj = 1 - (1 - α)^(1/m) (slightly less conservative)

Holm: Step-down procedure (more powerful than Bonferroni)

When to use: When performing multiple statistical tests to avoid inflated Type I error.

💡

How would you rate the Bonferroni Correction Calculator?

MyCalcBuddy Editorial Team

This page is maintained as an educational calculator reference.

ðŸ“š

Formula Source: Standard Mathematical References

by Various

ðŸ”„Last reviewed: May 2026

âœ“Formula checks are based on standard references and internal QA review.