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.
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To help overcome the challenges of teaching statistics across various diciplines, Gelman and Nolan have put together this fascinating and thought-provoking book based on years of teaching experience.
INTRODUCTORY PROBABILITY AND STATISTICS; PUTTING IT ALL TOGETHER; MORE ADVANCED COURSES
This book is unique; statistics educators will benefit. Recommended.
`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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Resource for classroom demonstrations and student activities Teaching tips on how to design your own activities and increase class participation Guidelines and templates for organizing projects New chapters on graphics, statistics communication, statistics diaries, and data science Takes a positive spin on the field of statistics for students
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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.
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Resource for classroom demonstrations and student activities Teaching tips on how to design your own activities and increase class participation Guidelines and templates for organizing projects New chapters on graphics, statistics communication, statistics diaries, and data science Takes a positive spin on the field of statistics for students
Les mer

Produktdetaljer

ISBN
9780198785705
Publisert
2017
Utgave
2. utgave
Utgiver
Vendor
Oxford University Press
Vekt
694 gr
Høyde
233 mm
Bredde
172 mm
Dybde
23 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
432

Biographical note

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.