1. Arrange p-values: First, arrange the p-values of the individual tests in ascending order. 2. Assign ranks: Assign ranks to each p-value, where the smallest p-value gets rank 1, the second smallest gets rank 2, and so on. 3. Calculate adjusted significance levels: Compare each p-value to its corresponding adjusted significance level, which is calculated as α/(n - rank + 1), where α is the chosen significance level (e.g., 0.05) and n is the total number of tests. 4. Reject or accept the null hypothesis: Starting with the smallest p-value, reject the null hypothesis for each p-value that is less than its adjusted significance level. Stop testing as soon as you encounter a p-value that is greater than its adjusted significance level.