👉 Bootstraps, also known as bootstrap confidence intervals or bootstrapped standard errors, are statistical methods used to estimate the variability of a sample statistic. They are particularly useful when the population from which the sample was drawn is not normally distributed and there are multiple samples being compared. In simple terms, "bootstraps" refer to the process of drawing a random sample from the original data set and then computing an interval estimate for the mean of that sample. These intervals are used to make inferences