Resampling is a statistical technique used to estimate the variability of a sample by repeatedly drawing samples from the data and assessing the variation in a statistic of interest. It is commonly used in methods like bootstrapping and permutation tests to provide empirical distributions and confidence intervals without relying on traditional parametric assumptions.