Bootstrapping is a statistical resampling technique used to estimate the distribution of a dataset by sampling with replacement. It is particularly useful when dealing with complex data where traditional analytical methods may fall short. This technique allows researchers to assess the variability of their data and make inferences about the population from which the sample was drawn.
