This paper is from Session 4B: Less parametric methods in statistics

which comes under Topic 4: Statistics education at the post secondary (tertiary) level

Other papers under session 4B ... 4B1: The use of statistical software to teach nonparametric curve... 4B3: Exploring data with non- and semiparametric models

(Monday 12th, 16:30-18:00)

On teaching bootstrap confidence intervals

Presenter

• Joachim Engel (University of Education Ludwigsburg, Germany)

Abstract

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.

Other papers under session 4B ... 4B1: The use of statistical software to teach nonparametric curve... 4B3: Exploring data with non- and semiparametric models