Bonferroni correction Bonferroni correction is a method to counteract the multiple comparisons problem in statistics. It is named after the mathematician Carlo Emilio Bonferroni .

Feb 16, 2021 · What is a Bonferroni Correction? A Bonferroni Correction refers to the process of adjusting the alpha (α) level for a family of statistical tests so that we control for the probability …

Jun 25, 2025 · The Bonferroni test is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously.

The Bonferroni correction is a simple, effective way to manage the risks associated with multiple comparisons. It keeps your family-wise error rate in check and your results robust.

Bonferroni's correction is an adjustment to the significance level used to evaluate the statistical significance of an individual comparison. Here's how it works:

May 18, 2025 · This comprehensive guide has explored the Bonferroni correction from its foundational theory to practical application, offering a robust resource for students and …

Explore the Bonferroni correction method, including how it works within A/B testing, when and how to use it, its pros and cons, and other correction techniques.

Jan 6, 2025 · Enter the Bonferroni correction —a simple yet powerful tool to adjust significance levels and reduce the risk of false positives in multiple comparisons. The idea is …

Sep 21, 2024 · The Bonferroni correction is a method used to adjust the significance level when performing multiple statistical tests, helping to control the overall Type I error rate.

The Bonferroni correction controls the number of false positives arising in each family by using a probability threshold of α/ n for each observation within the family.