## Your Turn

- Perform an independent samples t-test to test whether there is a difference in
`exam_1`

by`athlete`

. Use`var.equal = TRUE`

. Is there a difference? What is the p-value? - Perform an independent samples t-test to test whether there is a difference in
`act_english`

by`gender`

. Use`var.equal = TRUE`

. Is there a difference? What is the p-value?

Notice what happens since gender has 3 levels. Try out using the `filter()`

function from `dplyr`

to only check the difference between Female and Male students. Alternatively, check out the page on `t_test()`

to see how to use the `comparisons`

argument to specify the groups to compare.

## Solutions

## Learn More

We are using the `rstatix`

package for the `t_test()`

function (and other functions in later lessons). We use this package because it is tidyverse-friendly while some base R functions for inferential statistics are not. If you did want to use the base R equivalent function for a t-test, it is `t.test()`

.

## Have any questions? Put them below and we will help you out!