pystats.pnorm

Functions

pnorm(q[, mean, sd, lower_tail])

This function returns the value of the cumulative density function (cdf) of the

Module Contents

pystats.pnorm.pnorm(q, mean=0, sd=1, lower_tail=True)[source]

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 point q.

Parameters:

  • q (float) – The number of random variables to be simulated.

  • mean (float, optional) – The mean value of the normal distribution. Default is 0.

  • sd (float, optional) – The standard deviation of the normal distribution. Default is 1.

  • lower_tail (binary, optional) – If True, probabilities are P(X < q), otherwise, P(X > q). Default is True.

Returns:

A probability value at the given quantile value of the specified cdf.

Return type:

numpy.float64

Examples

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