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author | Raymond Hettinger <rhettinger@users.noreply.github.com> | 2019-02-28 17:16:25 (GMT) |
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committer | Miss Islington (bot) <31488909+miss-islington@users.noreply.github.com> | 2019-02-28 17:16:25 (GMT) |
commit | ef17fdbc1c274dc84c2f611c40449ab84824607e (patch) | |
tree | 10619b6016709e2339455421d15c4b9bac2fd2c4 /Doc | |
parent | ae2ea33d5da34a777e77d489b700ff45d753934f (diff) | |
download | cpython-ef17fdbc1c274dc84c2f611c40449ab84824607e.zip cpython-ef17fdbc1c274dc84c2f611c40449ab84824607e.tar.gz cpython-ef17fdbc1c274dc84c2f611c40449ab84824607e.tar.bz2 |
bpo-36018: Add special value tests and make minor tweaks to the docs (GH-12096)
https://bugs.python.org/issue36018
Diffstat (limited to 'Doc')
-rw-r--r-- | Doc/library/statistics.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index a0d4d39..8d961b7 100644 --- a/Doc/library/statistics.rst +++ b/Doc/library/statistics.rst @@ -482,9 +482,9 @@ of applications in statistics, including simulations and hypothesis testing. .. class:: NormalDist(mu=0.0, sigma=1.0) Returns a new *NormalDist* object where *mu* represents the `arithmetic - mean <https://en.wikipedia.org/wiki/Arithmetic_mean>`_ of data and *sigma* + mean <https://en.wikipedia.org/wiki/Arithmetic_mean>`_ and *sigma* represents the `standard deviation - <https://en.wikipedia.org/wiki/Standard_deviation>`_ of the data. + <https://en.wikipedia.org/wiki/Standard_deviation>`_. If *sigma* is negative, raises :exc:`StatisticsError`. @@ -579,7 +579,7 @@ of applications in statistics, including simulations and hypothesis testing. :class:`NormalDist` Examples and Recipes ---------------------------------------- -A :class:`NormalDist` readily solves classic probability problems. +:class:`NormalDist` readily solves classic probability problems. For example, given `historical data for SAT exams <https://blog.prepscholar.com/sat-standard-deviation>`_ showing that scores |