Teaching Statistics: A Bag of Tricks by Andrew GelmanTeaching Statistics: A Bag of Tricks by Andrew Gelman

Teaching Statistics: A Bag of Tricks

byAndrew Gelman, Deborah Nolan

Paperback | August 1, 2002

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Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring,if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active studentparticipation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows thetraditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A samplecourse plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.
Andrew Gelman is a Professor, Department of Statistics, Columbia University. Deborah Nolan is a Professor, Department of Statistics, University of California.
Title:Teaching Statistics: A Bag of TricksFormat:PaperbackDimensions:320 pages, 9.21 × 6.14 × 0.7 inPublished:August 1, 2002Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198572247

ISBN - 13:9780198572244

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Table of Contents

1. IntroductionPart I: Introductory probability and statistics2. First week of class3. Descriptive statistics4. Linear regression and correlation5. Data collection6. Statistical literacy and the news media7. Probability8. Statistical inference9. Multiple regression and nonlinear models10. Lying with statisticsPart II: Putting it all together11. How to do it12. Structuring an introductory statistics coursePart III: More advanced courses13. Decision theory and Bayesian statistics14. Student activities in survey sampling15. Problems and projects in probability16. Directed projects in a mathematical statistics courseNotesReferencesIndex

Editorial Reviews

`... there are ample ideas here for work on university service courses, including one section on 'Ethics and Statistics' that I found particularly interesting.'Teaching Statistics