Bonferroni test

The Bonferroni test is a statistical test used to adjust the significance level of multiple comparisons. It is named after Italian mathematician Carlo Emilio Bonferroni. When multiple statistical tests are conducted simultaneously, the likelihood of obtaining a false positive result increases. The Bonferroni test adjusts the p-value threshold for each test to minimize the overall probability of a false positive result. This is done by dividing the desired significance level by the number of tests being conducted. For example, if five statistical tests are being conducted with a desired significance level of 0.05, the adjusted significance level for each test would be 0.01 (0.05/5). The Bonferroni test is commonly used in medical research, genetics, and other fields where multiple statistical tests are conducted simultaneously.