| BINOFIT
| Binomial parameter estimates
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| BINOSTAT
| Binomial mean and variance
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| CDF
| Cumulative distribution functions
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| CHOLCOV
| Cholesky-like covariance decomposition
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| CORRCOV
| Convert covariance matrix to correlation matrix
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| EXPCDF
| Exponential cumulative distribution function
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| EXPFIT
| Exponential parameter estimates
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| EXPINV
| Exponential inverse cumulative distribution function
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| EXPLIKE
| Negative log-likelihood for the exponential distribution
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| EXPPDF
| Exponential probability density function
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| EXPRND
| Random arrays from exponential distribution
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| EXPSTAT
| Mean and variance of the exponential distribution
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| GAMSTAT
| Gamma mean and variance
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| GEOCDF
| Geometric cumulative distribution function
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| GEOMEAN
| Geometric mean
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| GEOPDF
| Geometric probability density function (pdf)
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| GEORND
| Random arrays from the geometric distribution
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| GEOSTAT
| Mean and variance of the geometric distribution
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| GEVLIKE
| Negative log-likelihood for the generalized extreme value distribution
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| GMDISTRIBUTION
| Gaussian mixture distribution class
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| ICDF
| Inverse cumulative distribution function for a specified distribution
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| KMEANS
| K-means clustering
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| LOGNCDF
| Lognormal cumulative distribution function (cdf)
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| LOGNINV
| Inverse of the lognormal cumulative distribution function (cdf)
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| LOGNPDF
| Lognormal probability density function (pdf)
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| LOGNRND
| Random arrays from the lognormal distribution
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| LOGNSTAT
| Mean and variance for the lognormal distribution
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| MAHAL
| Mahalanobis distance
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| MOMENT
| Central moments of all orders
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| MVNRND
| Random vectors from the multivariate normal distribution
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| MVREGRESSLIKE
| Negative log-likelihood for multivariate regression
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| NORMFIT
| Parameter estimates and confidence intervals for normal data
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| NORMINV
| Inverse of the normal cumulative distribution function (cdf)
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| NORMPDF
| Normal probability density function (pdf)
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| NORMRND
| Random arrays from the normal distribution
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| NORMSTAT
| Mean and variance for the normal distribution
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| PDF
| Density function for a specified distribution
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| POISSFIT
| Parameter estimates and confidence intervals for Poisson data
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| RANDOM
| Generate random arrays from a specified distribution
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| RANGE
| Sample range
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| SKEWNESS
| Skewness
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| TTEST
| One-sample and paired-sample T-test
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| TTEST2
| Two-sample t-test with pooled or unpooled variance estimate
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| UNIDRND
| Random arrays from the discrete uniform distribution
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| UNIFIT
| Parameter estimates for uniformly distributed data
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| UNIFRND
| Random arrays from continuous uniform distribution
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| UNIFSTAT
| Mean and variance of the continuous uniform distribution
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| ZSCORE
| Standardized z score
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