The Bonferroni correction is straightforward to apply. If you're conducting n tests, you divide your desired significance level (e.g., 0.05) by the number of tests. For instance, if you're running 10 tests, the adjusted significance level would be 0.05/10 = 0.005. This means that for a result to be considered statistically significant, its p-value must be less than 0.005.