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This paper is from Session 2D: The use of technology to enhance the teaching of statistics at school level
which comes under Topic 2: Statistics education at the school level             Full topic list


(Friday 7th, 10:30-12:30)

Exploring informal inference with interactive visualization software


Presenter


Co-authors

  • James K Hammerman
  • Cliff Konold

Abstract

Most statistics educators would agree that statistical inference is both the central objective of statistical reasoning and one of the most difficult ideas for students to understand. In traditional approaches, statistical inference is introduced as a quantitative problem, usually of figuring out the probability of obtaining an observed result on the assumption that the null hypothesis is true. In this article, we lay out an alternative approach towards teaching statistical inference that we are calling “informal inference.” We begin by describing informal inference and then illustrate ways we have been trying to develop the component ideas of informal inference in a recent data analysis seminar with teachers; our particular emphasis in this article is on the ways in which teachers used TinkerPlots, a statistical visualization tool. After describing teachers’ approaches to an inferential task, we offer some preliminary hypotheses about the conceptual issues that arose for them.