diff --git a/examples/statistics/confidence_ellipse.py b/examples/statistics/confidence_ellipse.py
index 9ba8758999d2..b5d3b4793c79 100644
--- a/examples/statistics/confidence_ellipse.py
+++ b/examples/statistics/confidence_ellipse.py
@@ -34,9 +34,9 @@
 #
 # The radiuses of the ellipse can be controlled by n_std which is the number
 # of standard deviations. The default value is 3 which makes the ellipse
-# enclose 99.4% of the points if the data is normally distributed
+# enclose 98.9% of the points if the data is normally distributed
 # like in these examples (3 standard deviations in 1-D contain 99.7%
-# of the data, which is 99.4% of the data in 2-D).
+# of the data, which is 98.9% of the data in 2-D).
 
 
 def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):