# PyQRS

PyQRS (Probabilities, Quantiles and Random Samples) is a tool for calculating probabilities and quantiles associated with more than 30 probability distributions.

Included are:

Discrete distributions                  Continuous distributions
binomial normal (gaussian) inverse gaussian
Bernoulli t non-central t
hypergeometric chi-square non-central chi-square
discrete-uniform F non-central F
negative-binomial beta non-central beta
geometric gamma Cauchy
Poisson exponential Gumbel
Mann-Whitney double-exponential (Laplace)      Pareto
Wilcoxon rank-sum logistic Weibull
Wilcoxon signed rank       log-normal triangular
folded-normal uniform

Quantiles and probabilities are displayed and edited in their natural position relative to the probability (density) graph. This makes PyQRS very easy to use.

Also the cumulative distribution function is shown.

In addition, random samples can be drawn.

It is also possible to find an unknown parameter value, given the distribution name, given the remaining parameter value(s), given the $$x$$-value and given the cumulative probability at $$x$$.