.. _book_fig_chapter3_fig_binomial_distribution:


Example of a Binomial distribution
----------------------------------
Figure 3.9.

This shows an example of a binomial distribution with various parameters.
We'll generate the distribution using::

    dist = scipy.stats.binom(...)

Where ... should be filled in with the desired distribution parameters
Once we have defined the distribution parameters in this way, these
distribution objects have many useful methods; for example:

* ``dist.pmf(x)`` computes the Probability Mass Function at values ``x``
  in the case of discrete distributions

* ``dist.pdf(x)`` computes the Probability Density Function at values ``x``
  in the case of continuous distributions

* ``dist.rvs(N)`` computes ``N`` random variables distributed according
  to the given distribution

Many further options exist; refer to the documentation of ``scipy.stats``
for more details.



.. image:: ../images/chapter3/fig_binomial_distribution_1.png
    :scale: 100
    :align: center


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