On Teaching the Bootstrap

نویسنده

  • Joachim Engel
چکیده

While the bootstrap in its first two decades after its inception by Brad Efron revolutionized the methods of the expert data analysts, its vast pedagogical potential is still in the process of being discovered. The bootstrap is a prime example of synergy between technology and content that can naturally be taught within the paradigms of new pedagogy. It has the potential to make core concepts of inferential statistics like the sampling distribution more accessible to learners. After analyzing key ingredients of the bootstrap method from a teaching perspective, we discuss methods of teaching the bootstrap in an activity-based learning environment with and without didactical software, including potential pitfalls and fallacies.

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تاریخ انتشار 2007