diff --git a/tensorflow_probability/python/stats/sample_stats.py b/tensorflow_probability/python/stats/sample_stats.py
index 1c9e82166f..2b778b8fa3 100644
--- a/tensorflow_probability/python/stats/sample_stats.py
+++ b/tensorflow_probability/python/stats/sample_stats.py
@@ -712,7 +712,7 @@ def windowed_variance(
 
   Computes variances among data in the Tensor `x` along the given windows:
 
-    result[i] = variance(x[low_indices[i]:high_indices[i]+1])
+    result[i] = variance(x[low_indices[i]:high_indices[i]])
 
   accurately and efficiently.  To wit, if K is the size of
   `low_indices` and `high_indices`, and `N` is the size of `x` along
@@ -829,7 +829,7 @@ def windowed_mean(
 
   Computes means among data in the Tensor `x` along the given windows:
 
-    result[i] = mean(x[low_indices[i]:high_indices[i]+1])
+    result[i] = mean(x[low_indices[i]:high_indices[i]])
 
   efficiently.  To wit, if K is the size of `low_indices` and
   `high_indices`, and `N` is the size of `x` along the given `axis`,