diff --git a/functions.qmd b/functions.qmd
index 16a1354..de7516d 100644
--- a/functions.qmd
+++ b/functions.qmd
@@ -532,7 +532,7 @@ flights |> unique_where(tailnum == "N14228", month)
 Here we embrace `condition` because it's passed to `filter()` and `var` because its passed to `distinct()`, `arrange()`, and `pull()`.
 
 We've made all these examples take a data frame as the first argument, but if you're working repeatedly with the same data, it can make sense to hardcode it.
-For example, the following function always works with the flights dataset and always selects `time_hour`, `carrier`, and `flight` since they are form the compound primary key that allows you to identify a row.
+For example, the following function always works with the flights dataset and always selects `time_hour`, `carrier`, and `flight` since they form the compound primary key that allows you to identify a row.
 
 ```{r}
 flights_sub <- function(rows, cols) {