Use resampling techniques to estimate descriptive statistics and confidence intervals from sample data when parametric test assumptions are not met, or for small samples from non-normal distributions.Bootstrapmethods choose random samples with replacement from the sample data to estimate confidence intervals for parameters of interest.Jackknifesystematically recalculates the parameter of interest using a subset of the sample data, leaving one observation out of the subset each time (leave-one-outresampling). From these calculations, it estimates the parameter of interest for the entire data sample. If you have a Parallel Computing Toolbox™ license, you can use parallel computing to speed up resampling calculations.