Chi-Square Distribution

Evaluate and generate random samples from chi-square distribution

Statistics and Machine Learning Toolbox™ offers multiple ways to work with the chi-square distribution.

Use distribution-specific functions with specified distribution parameters. The distribution-specific functions can accept parameters of multiple chi-square distributions.
Use generic distribution functions (cdf, icdf, pdf, random) with a specified distribution name ('Chisquare') and parameters.

To learn about the chi-square distribution, see Chi-Square Distribution.

Functions

`cdf`	Cumulative distribution function
`icdf`	Inverse cumulative distribution function
`pdf`	Probability density function
`random`	Random numbers

`chi2cdf`	Chi-square cumulative distribution function
`chi2pdf`	Chi-square probability density function
`chi2inv`	Chi-square inverse cumulative distribution function
`chi2stat`	Chi-square mean and variance
`chi2gof`	Chi-square goodness-of-fit test
`chi2rnd`	Chi-square random numbers

The chi-square distribution is commonly used in hypothesis testing, particularly the chi-square test for goodness of fit.