pystats_norm.pnorm
==================

.. py:module:: pystats_norm.pnorm


Functions
---------

.. autoapisummary::

   pystats_norm.pnorm.pnorm


Module Contents
---------------

.. py:function:: pnorm(q, mean=0, sd=1, lower_tail=True)

   This function returns the value of the cumulative density function (cdf) of the
   normal distribution with mean equal to `mean`, standard deviation equal to `sd`,
   at a certain quantile q.

   :param q: The quantile for which you want the `cdf` value.
   :type q: np.float64
   :param mean: The mean value of the normal distribution. Default is 0.
   :type mean: np.float64, optional
   :param sd: The standard deviation of the normal distribution. Default is 1.
   :type sd: np.float64, optional
   :param lower_tail: If True, probabilities are P(X < q), otherwise, P(X > q). Default is True.
   :type lower_tail: bool, optional

   :returns: A probability value at the given quantile value of the specified cdf.
   :rtype: np.float64

   .. rubric:: Examples

   >>> pnorm(69, mean=60, sd=5, lower_tail=False)
   0.03593032