Teaching Statistics
A Bag of Tricks
2nd Edition
Published on 4. May 2017
Book
Paperback/Softback
432 pages
978-0-19-878570-5 (ISBN)
Description
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.
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.
Reviews / Votes
This book is unique; statistics educators will benefit. Recommended. * CHOICE * Exceptionally well written, organized and presented, "Teaching Statistics: A Bag of Tricks" is an extraordinary and unreservedly recommended addition to academic library collections in general, and would prove to be an enduringly valued supplementary text book for Statistics Education curriculums. * Midwest Book Review * 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 * I strongly recommend Teaching Statistics to anyone teaching statistics. The second edition contains new and exciting ideas, especially for more advanced classes. This book is well-written, informative, and very useful. * Rebecca Conley, MAA Reviews *More details
Edition
2nd Revised edition
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 23 mm
Weight
638 gr
ISBN-13
978-0-19-878570-5 (9780198785705)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
05/2017
2nd Edition
OUP eBook
€33.99
Available for download
Previous edition
Book
09/2002
Oxford University Press
€51.98
Article exhausted; check for reprint
Persons
Andrew Gelman is Professor of Statistics and Professor of Political Science and Director of the Applied Sciences Center at Columbia University. He has published over 250 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy.
Deborah Nolan is Professor of Statistics at the University of California, Berkeley. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.
Deborah Nolan is Professor of Statistics at the University of California, Berkeley. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.
Content
INTRODUCTORY PROBABILITY AND STATISTICS; PUTTING IT ALL TOGETHER; MORE ADVANCED COURSES