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Teaching Statistics

A Bag of Tricks

By: Andrew Gelman, Deborah Nolan

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Hardcover | 18 May 2017 | Edition Number 2

At a Glance

Hardcover
384 Pages

Edition Type
Revised

Dimensions(cm)
26.0 x 24.0 x 2.7

Hardcover

RRP $235.00

$227.75

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Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, 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, activities, examples, and projects that involve active student participation.

Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.

Industry Reviews

`Review from previous edition "... very readable ... a book to dip into ... a useful companion to have to hand with fresh and relevant ideas."' Mathematics in School `"This book contains more material than could possibly be used in a single course; we suggest you read through it all and then try out some of the ideas. Pick and choose what works for you."' Zentralblatt Math `"Gelman and Nolan have constructed a tour de force of clever demonstrations that will permit all who use them to communicate more effectively many of the deepest ideas of statisitical thinking."' Howard Wainer, Distinguished Research Scientist, National Board of Medical Examiners, Philadelphia

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