results under certain assumptions and / or asymptotics – Sample means follow a known distribution – Regression coefficients follow a known distribution – Odds ratios follow a known distribution • If your assumptions aren’t met, or your sample isn’t large enough for asymptotics, you can’t use the “known distribution” • Bootstrapping gets you back to repeated sampling, and uses an empirical rather than a theoretical distribution for your statistic of interest Why bootstrap?