Teaching Statistics: A Bag of Tricks

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9780198572244: Teaching Statistics: A Bag of Tricks

This volume takes a positive spin on the field of statistics. Statistics is seen by students as difficult and boring, however, the authors of this book have eliminated that theory. Teaching Statistics: A Bag Of Tricks, brings together a complete set of examples, demonstrations and projects that not only will increase class participation but will help to eliminate any negative feelings toward the area of statistics.

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About the Author:

Andrew Gelman is a Professor, Department of Statistics, Columbia University. Deborah Nolan is a Professor, Department of Statistics, University of California.

Review:


"This exciting new volume takes a positive spin on the field of statistics." -- The Bulletin of Mathematics Books.


"Most teachers of statistics spend a great deal of time collecting and concocting a file of activities while wishing for a single source of good ideas. This book is the answer to their needs."--Mathematics Teacher


"About this title" may belong to another edition of this title.

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Book Description Oxford University Press, United Kingdom, 2002. Paperback. Book Condition: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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 student participation. 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 the traditional 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 sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling. Bookseller Inventory # BZE9780198572244

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