From: Raymond Hettinger Date: Thu, 7 Mar 2019 16:54:31 +0000 (-0800) Subject: NormalDist.overlap() only needs one example (GH-12218) X-Git-Tag: v3.8.0a3~149 X-Git-Url: http://git.ipfire.org/gitweb.cgi?a=commitdiff_plain;h=14bab7abeea195c97f4166740ee1d15471964244;p=thirdparty%2FPython%2Fcpython.git NormalDist.overlap() only needs one example (GH-12218) --- 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) `_ - 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 - `_ 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 + `_. Instances of :class:`NormalDist` support addition, subtraction, multiplication and division by a constant. These operations