[Python-checkins] NormalDist.overlap() only needs one example (GH-12218)

[Miss Islington (bot)]

https://github.com/python/cpython/commit/14bab7abeea195c97f4166740ee1d15471964244
commit: 14bab7abeea195c97f4166740ee1d15471964244
branch: master
author: Raymond Hettinger <rhettinger at users.noreply.github.com>
committer: Miss Islington (bot) <31488909+miss-islington at users.noreply.github.com>
date: 2019-03-07T08:54:31-08:00
summary:

NormalDist.overlap() only needs one example (GH-12218)

files:
M Doc/library/statistics.rst

diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index 157500ed4b4a..9aa83331ee0e 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -553,23 +553,10 @@ of applications in statistics.
 
        Compute the `overlapping coefficient (OVL)
        <http://www.iceaaonline.com/ready/wp-content/uploads/2014/06/MM-9-Presentation-Meet-the-Overlapping-Coefficient-A-Measure-for-Elevator-Speeches.pdf>`_
-       between two normal distributions.
-
-       Measures the agreement between two normal probability distributions.
-       Returns a value between 0.0 and 1.0 giving the overlapping area for
-       two probability density functions.
-
-       In this `example from John M. Linacre
-       <https://www.rasch.org/rmt/rmt101r.htm>`_ about 80% of each
-       distribution overlaps the other:
-
-       .. doctest::
-
-           >>> N1 = NormalDist(2.4, 1.6)
-           >>> N2 = NormalDist(3.2, 2.0)
-           >>> ovl = N1.overlap(N2)
-           >>> f'{ovl * 100.0 :.1f}%'
-           '80.4%'
+       between two normal distributions, giving a measure of agreement.
+       Returns a value between 0.0 and 1.0 giving `the overlapping area for
+       two probability density functions
+       <https://www.rasch.org/rmt/rmt101r.htm>`_.
 
     Instances of :class:`NormalDist` support addition, subtraction,
     multiplication and division by a constant.  These operations