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# Binomial Distribution

Fit parameters of the binomial distribution to data, evaluate the distribution or its inverse, generate pseudorandom samples

## Functions

 `makedist` Create probability distribution object `fitdist` Fit probability distribution object to data `distributionFitter` Open Distribution Fitter app
 `cdf` Cumulative distribution function `icdf` Inverse cumulative distribution function `iqr` Interquartile range `mean` Mean of probability distribution `median` Median of probability distribution `negloglik` Negative loglikelihood of probability distribution `paramci` Confidence intervals for probability distribution parameters `pdf` Probability density function `proflik` Profile likelihood function for probability distribution `random` Random numbers `std` Standard deviation of probability distribution `truncate` Truncate probability distribution object `var` Variance of probability distribution
 `binocdf` Binomial cumulative distribution function `binopdf` Binomial probability density function `binoinv` Binomial inverse cumulative distribution function `binostat` Binomial mean and variance `binofit` Binomial parameter estimates `binornd` Random numbers from binomial distribution

## Objects

 `BinomialDistribution` Binomial probability distribution object

## Topics

Bernoulli Distribution

The Bernoulli distribution is a discrete probability distribution with the only two possible values for the random variable.

Binomial Distribution

The binomial distribution models the total number of successes in repeated trials from an infinite population under certain conditions.

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