# Documentation

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# Multinomial Distribution

Evaluate the multinomial distribution, generate pseudorandom samples

## Functions

 `makedist` Create probability distribution object
 `cdf` Cumulative distribution functions `icdf` Inverse cumulative distribution functions `iqr` Interquartile range `mean` Mean of probability distribution `median` Median of probability distribution `pdf` Probability density functions `random` Random numbers `std` Standard deviation of probability distribution `truncate` Truncate probability distribution object `var` Variance of probability distribution
 `mnpdf` Multinomial probability density function `mnrnd` Multinomial random numbers

## Using Objects

 `MultinomialDistribution` Multinomial probability distribution object

## Examples and How To

Multinomial Probability Distribution Objects

This example shows how to generate random numbers, compute and plot the pdf, and compute descriptive statistics of a multinomial distribution using probability distribution objects.

Multinomial Probability Distribution Functions

This example shows how to generate random numbers and compute and plot the pdf of a multinomial distribution using probability distribution functions.

## Concepts

Multinomial Distribution

The multinomial distribution models the probability of each combination of successes in a series of independent trials.