babs4/week1

r4babs1/week-7/workshop.qmd

@@ -458,6 +458,7 @@ You're finished!
 
 # 🥳 Well Done! 🎉
 
+
 ![Artwork by @allison_horst: "but now its like"](images/r_first_then.png){fig-alt="A digital cartoon with two illustrations: the top shows the R-logo with a scary face, and a small scared little fuzzy monster holding up a white flag in surrender while under a dark storm cloud. The text above says 'at first I was like…'. The lower cartoon is a friendly, smiling R-logo jumping up to give a happy fuzzy monster a high-five under a smiling sun and next to colorful flowers. The text above the bottom illustration reads 'but now its like…'. ” width="800"}
 
 

r4babs2/week-3/overview.qmd

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 toc-location: right
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-This week you will how to use and interpret the general linear model when the *x* variable is categorical and has two groups. Just as with single linear regression, the model puts a line of best through data and the model parameters, the intercept and the slope, have the same in interpretation The intercept is one of the group means and the slope is the difference between that, mean and the other group mean. You will also learn about the non-parametric equivalents - the tests we use when the assumptions of the general linear model are not met. 
+This week you will how to use and interpret the general linear model when the explanatory (*x*) variable is categorical with two possible values. These tests are also known as *t*-tests. Just as with single linear regression, the response variable is continuous, and the model puts a line of best through data and has two parameters called the intercept and the slope. These have the same in interpretation as they do in linear regression. The intercept is one of the group means and the slope is the difference between that mean and the other group mean. You will also learn about the non-parametric tests we use when the assumptions of the general linear model are not met. 
 
 
 ### Learning objectives