diff --git a/R/lm.R b/R/lm.R
index 50511a5b..a6c795d4 100644
--- a/R/lm.R
+++ b/R/lm.R
@@ -266,10 +266,10 @@ report.TSLM <- function(object, digits = max(3, getOption("digits") - 3), ...) {
 #' @importFrom stats predict
 #'
 #' @param approx_normal Should the resulting forecast distributions be
-#'   approximated as a Normal distribution instead of a Student T distribution.
-#'   Returning Normal distributions (the default) is a useful approximation to
-#'   make it easier for using TSLM models in model combinations or 
-#'   reconciliation processes.
+#'   approximated as a Normal distribution instead of a Student's T 
+#'   distribution. Returning Normal distributions (the default) is a useful 
+#'   approximation to make it easier for using TSLM models in model combinations 
+#'   or reconciliation processes.
 #'
 #' @examples
 #' as_tsibble(USAccDeaths) %>%
diff --git a/man/forecast.TSLM.Rd b/man/forecast.TSLM.Rd
index bad5357e..673472de 100644
--- a/man/forecast.TSLM.Rd
+++ b/man/forecast.TSLM.Rd
@@ -24,10 +24,10 @@
 \item{bootstrap}{If \code{TRUE}, then forecast distributions are computed using simulation with resampled errors.}
 
 \item{approx_normal}{Should the resulting forecast distributions be
-approximated as a Normal distribution instead of a Student T distribution.
-Returning Normal distributions (the default) is a useful approximation to
-make it easier for using TSLM models in model combinations or
-reconciliation processes.}
+approximated as a Normal distribution instead of a Student's T
+distribution. Returning Normal distributions (the default) is a useful
+approximation to make it easier for using TSLM models in model combinations
+or reconciliation processes.}
 
 \item{times}{The number of sample paths to use in estimating the forecast distribution when \code{bootstrap = TRUE}.}