# Dependent t-test

This lesson is called Dependent t-test, part of the Inferential Statistics with R course. This lesson is called Dependent t-test, part of the Inferential Statistics with R course.

### Transcript

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## Your Turn

Perform a dependent samples t-test to test whether there is a difference in exam scores:

`exam_1`

and`exam_2`

. Is there a difference? What is the p-value?Perform a dependent samples t-test to test whether there is a difference in

`act_science`

and`act_mathematics`

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

**Don’t forget: You’ll need to make your data long before running your t-test.**

## 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()`

.

For the dependent t-test using the `t_test()`

function, you need to pivot the data set from wide to long using the `pivot_longer()`

function in the tidyr package. Read this vignette for more information on the new pivoting functions.

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

## Course Content

21 Lessons

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## soundarya soundararajan • March 25, 2021

Hi thanks for the great session. I am writing to bring to your kind notice that there is an error in the solution 2. where it reads names_prefix = "weight_", whereas it should read names_prefix="act_"

Thanks!