OpenIntro Statistics, Third Edition

An open-source textbook for introductory statistics. It has been used in dozen courses including ones at Princeton University, and the University of Southern California.

**Tag(s):**
Statistics

**Publication date**: 13 Jan 2016

**ISBN-10**:
194345003X

**ISBN-13**:
9781943450039

**Paperback**:
436 pages

**Views**: 7,327

**Type**: N/A

**Publisher**:
OpenIntro, Inc.

**License**:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

**Post time**: 30 Jun 2016 04:55:00

OpenIntro Statistics, Third Edition

An open-source textbook for introductory statistics. It has been used in dozen courses including ones at Princeton University, and the University of Southern California.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click**here** to read the full license.

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

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From the Preface:

More information is available at the book webpage.

Diez, Barr and Cetinkaya Rundel wrote:This book may be downloaded as a free PDF at openintro.org.

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

(1) Statistics is an applied field with a wide range of practical applications.

(2) You don’t have to be a math guru to learn from real, interesting data.

(3) Data is messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world.

More information is available at the book webpage.

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About The Author(s)

Christopher D. Barr was a Research Assistant Professor, in the Texas Institute for Measurement, Evaluation, and Statistics (TIMES), at the University of Houston. He now works as an Analyst at Varadero Capital. His research interests include application of multilevel and latent variable modelling techniques for studying nested data structures, particularly in the area of teacher and school level effects on students’ educational outcomes.

Mine Çetinkaya-Rundel is the Director of Undergraduate Studies and an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. Her research focuses on innovation in statistics pedagogy, with an emphasis on student-centered learning, computation, reproducible research, and open-source education.

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