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R for the Rest of Us: A Statistics-Free Introduction comes out June 25th. Or you can read the online version today. Check it out →
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Transcript

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Your Turn

  1. 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?

  2. 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!

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soundarya soundararajan

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!