The Bonferroni Correction is a statistical adjustment made to account for the problem of multiple comparisons. When multiple statistical tests are conducted, the chance of obtaining at least one statistically significant result due to random chance increases. The Bonferroni Correction aims to reduce the likelihood of Type I errors (false positives) by adjusting the significance threshold.
