diff --git a/episodes/00-introduction.Rmd b/episodes/00-introduction.Rmd
index 9ba02c65..90b2d9cc 100644
--- a/episodes/00-introduction.Rmd
+++ b/episodes/00-introduction.Rmd
@@ -143,6 +143,16 @@ called an **RStudio Project**. An RStudio project allows you to more easily:
- Restart work where you left off
- Collaborate, especially if you are using version control such as [git](https://swcarpentry.github.io/git-novice/).
+Using an RStudio project also has the key benefit of correctly setting your working directory when in an R session.
+This is important because R will look for files in the working directory by default.
+If you don't set your working directory, you may have to specify the full path (the location on your drive) to a
+file every time you want to read or write it. Sometimes people will use `setwd()` to manually
+set the working directory for a script, but this is not recommended because this approach requires the working directory to be
+set every time you run your script, and can cause problems if you share your script with others or run it on a different machine.
+RStudio project directories can be moved to a different location on the computer, or moved to a different computer, and they will
+still work correctly because the working directory is set relative to the project directory (it sets the working directory as the directory with
+the `.Rproj` file).
+
1. To create a project, go to the File menu, and click New Project....
@@ -482,11 +492,12 @@ the `help.search()` function.
Use `help.search()` to find R functions for the following statistical
functions. Remember to put your search query in quotes inside the function's
-parentheses.
+parentheses. Also note that Google or your favorite search engine is a good
+place to start as well. It can be helpful to include "R" in your search query.
- Chi-Squared test
- Student t-test
-- mixed linear model
+- linear model
::::::::::::::: solution
@@ -497,7 +508,7 @@ find:
- Chi-Squared test: `stats::Chisquare`
- Student t-test: `stats::t.test`
-- mixed linear model: `stats::lm.glm`
+- linear model: `stats::lm.glm`