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bpo-36018: Add documentation link to "random variable" (GH-12114)

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https://bugs.python.org/issue36018
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Raymond Hettinger 2019-02-28 21:47:26 -08:00 • committed by Miss Islington (bot)
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Doc/library/statistics.rst
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@ -471,9 +471,11 @@ A single exception is defined:
:class:`NormalDist` objects :class:`NormalDist` objects
=========================== ===========================
A :class:`NormalDist` is a a composite class that treats the mean and standard :class:`NormalDist` is a tool for creating and manipulating normal
deviation of data measurements as a single entity. It is a tool for creating distributions of a `random variable
and manipulating normal distributions of a random variable. <http://www.stat.yale.edu/Courses/1997-98/101/ranvar.htm>`_. It is a
composite class that treats the mean and standard deviation of data
measurements as a single entity.
Normal distributions arise from the `Central Limit Theorem Normal distributions arise from the `Central Limit Theorem
<https://en.wikipedia.org/wiki/Central_limit_theorem>`_ and have a wide range <https://en.wikipedia.org/wiki/Central_limit_theorem>`_ and have a wide range
@ -530,7 +532,7 @@ of applications in statistics, including simulations and hypothesis testing.
Using a `probability density function (pdf) Using a `probability density function (pdf)
<https://en.wikipedia.org/wiki/Probability_density_function>`_, <https://en.wikipedia.org/wiki/Probability_density_function>`_,
compute the relative likelihood that a random sample *X* will be near compute the relative likelihood that a random variable *X* will be near
the given value *x*. Mathematically, it is the ratio ``P(x <= X < the given value *x*. Mathematically, it is the ratio ``P(x <= X <
x+dx) / dx``. x+dx) / dx``.
@ -544,7 +546,7 @@ of applications in statistics, including simulations and hypothesis testing.
Using a `cumulative distribution function (cdf) Using a `cumulative distribution function (cdf)
<https://en.wikipedia.org/wiki/Cumulative_distribution_function>`_, <https://en.wikipedia.org/wiki/Cumulative_distribution_function>`_,
compute the probability that a random sample *X* will be less than or compute the probability that a random variable *X* will be less than or
equal to *x*. Mathematically, it is written ``P(X <= x)``. equal to *x*. Mathematically, it is written ``P(X <= x)``.
Instances of :class:`NormalDist` support addition, subtraction, Instances of :class:`NormalDist` support addition, subtraction,