bpo-36018: Add documentation link to "random variable" (GH-12114) · python/cpython@9add4b3 (original) (raw)

`@@ -471,9 +471,11 @@ A single exception is defined:

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`` :class:NormalDist objects

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`===========================

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`` -

A :class:NormalDist is a a composite class that treats the mean and standard

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deviation of data measurements as a single entity. It is a tool for creating

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and manipulating normal distributions of a random variable.

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`` +

:class:NormalDist is a tool for creating and manipulating normal

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distributions of a `random variable

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`` +

http://www.stat.yale.edu/Courses/1997-98/101/ranvar.htm`_. It is a

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composite class that treats the mean and standard deviation of data

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measurements as a single entity.

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`` Normal distributions arise from the `Central Limit Theorem

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`` 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.

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`` Using a `probability density function (pdf)

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`` https://en.wikipedia.org/wiki/Probability_density_function`_,

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compute the relative likelihood that a random sample X will be near

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compute the relative likelihood that a random variable X will be near

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``` the given value *x*. Mathematically, it is the ratio ``P(x <= X <


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```  x+dx) / dx``.

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`@@ -544,7 +546,7 @@ of applications in statistics, including simulations and hypothesis testing.

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`` Using a `cumulative distribution function (cdf)

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`` https://en.wikipedia.org/wiki/Cumulative_distribution_function`_,

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compute the probability that a random sample X will be less than or

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compute the probability that a random variable X will be less than or

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``` equal to *x*. Mathematically, it is written P(X <= x).

```

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`` Instances of :class:NormalDist support addition, subtraction,