Exercise

# Bonferroni correction

Let's implement multiple hypothesis tests using the Bonferroni correction approach that we discussed in the slides. You'll use the imported `multipletests()`

function in order to achieve this.

Use a single-test significance level of .05 and observe how the Bonferroni correction affects our sample list of p-values already created.

Instructions

**100 XP**

- Compute a list of the Bonferroni adjusted p-values using the imported
`multipletests()`

function. - Print the results of the multiple hypothesis tests returned in index 0 of your
`p_adjusted`

variable. - Print the p-values themselves returned in index 1 of your
`p_adjusted`

variable.