Teaching Statistics

Name: Teaching Statistics
Brand: Oxford University Press (UK)
SKU: 9780198785699
Price: 17413.0 INR
Availability: InStock

by Andrew Gelman

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ISBN13: 9780198785699
Binding: Hardcover
Subject: N/A
Publisher: Oxford University Press (UK)
Publisher Imprint: Oxford University Press (UK)
Publication Date: July 4, 2017
Pages: 422
Original Price: USD 160.0
Language: English
Edition: 2 Revised edition
Item Weight: 858 grams
BISAC Subject(s): Probability & Statistics / General

About The Book

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.

About The Author

Andrew Gelman, Columbia University, Deborah Nolan, University of California

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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