The basis for most inferential procedures is the idea of a sampling distribution. Computer simulation lets students gain experience with and intuition for this concept. The bootstrap can reinforce that learning. While today the bootstrap belongs to the toolkit of any professional statistician, its vast pedagogical potential is still in the process of being discovered. We discuss several bootstrap methods to compute confidence intervals from a teaching perspective.
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