The Bonferroni Correction is a statistical method used to address the issue of multiple comparisons. When multiple statistical tests are conducted, the chance of obtaining at least one significant result due to random chance increases. The Bonferroni Correction adjusts the threshold for significance to reduce the likelihood of false positives, thereby enhancing the robustness of the findings.
