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The Challenge of Developing Statistical Literacy, Reasoning and Thinking

  • Dani Ben-Zvi
  • Joan Garfield

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Introduction to Statistical Literacy, Reasoning, and Thinking

    1. Front Matter
      Pages 1-1
    2. Maxine Pfannkuch, Chris Wild
      Pages 17-46
    3. Iddo Gal
      Pages 47-78
    4. Graham A. Jones, Cynthia W. Langrall, Edward S. Mooney, Carol A. Thornton
      Pages 97-117
  3. Studies of Statistical Reasoning

    1. Front Matter
      Pages 119-119
    2. Dani Ben-Zvi
      Pages 121-145
    3. Arthur Bakker, Koeno P. E. Gravemeijer
      Pages 147-168
    4. Clifford Konold, Alexander Pollatsek
      Pages 169-199
    5. Chris Reading, J. Michael Shaughnessy
      Pages 201-226
    6. Jonathan Moritz
      Pages 227-255
    7. Carmen Batanero, Liliana Mabel Tauber, Victoria Sánchez
      Pages 257-276
    8. Jane M. Watson
      Pages 277-294
    9. Beth Chance, Robert del Mas, Joan Garfield
      Pages 295-323
  4. Instructional, Curricular and Research Issues

    1. Front Matter
      Pages 325-325
    2. William T. Mickelson, Ruth M. Heaton
      Pages 327-352

About this book

Introduction

Research in statistics education is an emerging field, with much of the work being published in diverse journals across many disciplines. Locating and synthesizing this research is often a challenging task, as is connecting the research literature to practical issues of teaching and assessing students. This book is unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels. Unlike other books on how to teach statistics, or educational materials to help students learn statistics, this book presents the research foundation on which teaching should be based. The chapters in this volume are written by the today's leading researchers in statistics education.

This volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.

Keywords

Normal distribution curriculum data analysis education instructional design statistics

Editors and affiliations

  • Dani Ben-Zvi
    • 1
  • Joan Garfield
    • 2
  1. 1.University of HaifaHaifaIsrael
  2. 2.University of MinnesotaMinneapolisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/1-4020-2278-6
  • Copyright Information Springer Science+Business Media Dordrecht 2004
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-2277-7
  • Online ISBN 978-1-4020-2278-4
  • Buy this book on publisher's site