Bonferroni correction as a solution for multiple comparisons problem in A/B tests. Here is an explanation of how it works with a simulation written in Python.

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This article explains the problem of testing multiple hypotheses without proper adjustments. It introduces the Bonferroni correction as a solution to control false positive results. Simulation demonstrates the effectiveness of the correction. Understanding and applying corrections in multiple hypothesis testing is essential for accurate data analysis and decision-making.