Statistical Analysis Commands bbdesign Generates a design matrix for Box-Behnken with specified number of factors f. beta Beta function. betacdf Compute beta distribution cumulative distribution function values. betafit Fit a beta distribution to a data sample. betainc Compute incomplete beta function values. betainv Compute beta distribution inverse cumulative distribution function values. betaln Log beta function. betapdf Compute beta distribution probability density function values. betarnd Generate random data from a beta distribution. bins Divides the range of data d into n equal bins. cdf Compute cumulative distribution function values. chi2cdf Compute chi-squared distribution cumulative distribution function values. chi2inv Compute chi-squared distribution inverse cumulative distribution function values. chi2pdf Compute chi-squared distribution probability density function values. chi2rnd Generate random data from a chi-squared distribution. corr Compute correlation coefficients. cov Compute covariances. cpsd Compute cross spectral densities. detrend Removes the mean or best fit line from a data vector. erf Returns the error function of x. expcdf Compute exponential distribution cumulative distribution function values. expfit Fit an exponential distribution to a data sample. expinv Compute exponential distribution inverse cumulative distribution function values. exppdf Compute exponential distribution probability density function values. exprnd Generate random data from an exponential distribution. factorial Factorial function. fcdf Compute F distribution cumulative distribution function values. finv Compute F distribution inverse cumulative distribution function values. fpdf Compute F distribution probability density function values. frnd Generate random data from an F distribution. fullfact Generate the full factorial design matrices. gamcdf Compute gamma distribution cumulative distribution function values. gamfit Fit a gamma distribution to a data sample. gaminv Compute gamma distribution inverse cumulative distribution function values. gamma Gamma function. gammaln Log gamma function. gammainc Compute incomplete gamma function values. gampdf Compute gamma distribution probability density function values. gamrnd Generate random data from a gamma distribution. histc Computes histogram counts. icdf Compute inverse cumulative distribution function values. kurtosis Compute kurtosis values. logncdf Compute lognormal distribution cumulative distribution function values. lognfit Fit a lognormal distribution to a data sample. logninv Compute lognormal distribution inverse cumulative distribution function values. lognpdf Compute lognormal distribution probability density function values. lognrnd Generate random data from a normal distribution. mad Compute mean or median absolute deviation values. mean Computes mean values. meandev Compute mean absolute deviation values. median Compute median values. mode Compute mode values. movmean Computes moving average values. nanmean Computes mean values, ignoring NaN values. nanmedian Compute medians, ignoring NaN values. nanstd Compute standard deviations, ignoring NaN values. nansum Returns vector or matrix element sums, ignoring NaN values. nanvar Compute variances, ignoring NaN values. nchoosek Combinatorial function for selecting from a set of items. normcdf Compute normal distribution cumulative distribution function values. normfit Fit a normal distribution to a data sample. norminv Compute normal distribution inverse cumulative distribution function values. normpdf Compute normal distribution probability density function values. normrnd Generate random data from a normal distribution. pdf Compute probability density function values. poisscdf Compute Poisson distribution cumulative distribution function values. poissfit Fit a Poisson distribution to a data sample. poissinv Compute Poisson distribution inverse cumulative distribution function values. poisspdf Compute Poisson distribution probability density function values. poissrnd Generate random data from a Poisson distribution. polyfit Fit a polynomial to a set of paired data. quantile Compute quantile values. rand Generate uniform random values on the interval (0,1). randn Generate standard normal random values. random Generate random samples from a distribution. randperm Generates a random permutation vector. regress Perform multiple linear regression using the model y = X * beta + e. rms Compute root mean square values. skewness Compute skewness values. std Compute standard deviations. tcdf Compute Student t distribution cumulative distribution function values. tinv Compute Student t distribution inverse cumulative distribution function values. tpdf Compute Student t distribution probability density function values. trnd Generate random data from a Student t distribution. ttest Hypothesis test for the mean of a sample with unknown standard deviation. ttest2 Hypothesis test for the means of two samples with unknown and equal standard deviations. unifcdf Compute uniform distribution cumulative distribution function values. unifinv Compute uniform distribution inverse cumulative distribution function values. unifit Fit a uniform distribution to a data sample. unifpdf Compute uniform distribution probability density function values. unifrnd Generate random data from a uniform distribution. var Compute variance values. vartest Hypothesis test for the variance of a sample. vartest2 Hypothesis test for the variances of two samples. wblcdf Compute Weibull distribution cumulative distribution function values. wblfit Fits a Weibull distribution to a data sample. wblinv Compute Weibull distribution inverse cumulative distribution function values. wblpdf Compute Weibull distribution probability density function values. wblrnd Generate random data from a Weibull distribution. ztest Hypothesis test for the mean of a sample with known standard deviation.