diff --git a/exercises/06-outcome-model-exercises.Rmd b/exercises/06-outcome-model-exercises.Rmd
index 260c8d8..f26d26b 100644
--- a/exercises/06-outcome-model-exercises.Rmd
+++ b/exercises/06-outcome-model-exercises.Rmd
@@ -20,7 +20,7 @@ _After updating the code chunks below, change `eval = TRUE` before knitting._
 Create a function called `ipw_fit` that fits the propensity score model from Exercise 03, incorporates the ATE weights calculated in Exercise 04, and fits a weighted outcome model.
 
 ```{r, eval = FALSE}
-it_ipw <- function(split, ...) { 
+fit_ipw <- function(split, ...) { 
   .df <-____
   
   # fit propensity score model