Explain the difference between a simple bootstrap and a stratified bootstrap.

A simple bootstrap draws samples with replacement from the entire dataset. A stratified bootstrap divides the dataset into strata (e.g., demographic groups) and then draws bootstrap samples from each stratum, ensuring representation of each group. Stratified bootstrap is useful when you want to preserve the original proportions of strata in your bootstrap samples.