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English
Oxford University Press
18 May 2017
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.

By:   ,
Imprint:   Oxford University Press
Country of Publication:   United Kingdom
Edition:   2nd Revised edition
Dimensions:   Height: 233mm,  Width: 172mm,  Spine: 23mm
Weight:   1g
ISBN:   9780198785705
ISBN 10:   0198785704
Pages:   432
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1: Introduction Introductory probability and statistics 2: First week of class 3: Descriptive statistics 4: Statistical graphics 5: Linear regression and correlation 6: Data collection 7: Statistical literacy and the news media 8: Probability 9: Statistical inference 10: Multiple regression and nonlinear models 11: Lying with statistics Putting it all together 12: How to do it 13: Structuring an introductory statistics course 14: Teaching statistics to social scientists 15: Statistics diaries 16: A course in statistical communication and graphics More advanced courses 17: Decision theory and Bayesian statistics 18: Student activities in survey sampling 19: Problems and projects in probability 20: Directed projects in a mathematical statistics course 21: Statistical thinking in a data science course

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.

Reviews for Teaching Statistics: A Bag of Tricks

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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