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Compute, fit, or generate samples from integer-valued
A discrete probability distribution is one where the random
variable can only assume a finite, or countably infinite, number of
values. For example, in a binomial distribution, the random variable X can
only assume the value 0 or 1. Statistics and Machine Learning Toolbox™ offers
several ways to work with discrete probability distributions, including
probability distribution objects, command line functions, and interactive
apps. For more information on these options, see Working with Probability Distributions.
Binomial Distribution Fit parameters of the binomial distribution to data,
evaluate the distribution or its inverse, generate pseudorandom samples