OpenIntro Statistics covers a first course in statistics, providing a rigorous introduction to applied statistics that is clear, concise, and accessible. This book was written with the undergraduate level in mind, but it’s also popular in high schools and graduate courses.
We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.
- Statistics is an applied field with a wide range of practical applications.
- You don’t have to be a math guru to learn from real, interesting data.
- Data are 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 world.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-SA). You can download the ebook OpenIntro Statistics, 4th Edition for free.
- Title
- OpenIntro Statistics, 4th Edition
- Publisher
- OpenIntro
- Author(s)
- Christopher Barr, David Diez, Mine Çetinkaya-Rundel
- Published
- 2022-04-13
- Edition
- 4
- Format
- eBook (pdf, epub, mobi)
- Pages
- 422
- Language
- English
- ISBN-10
- 1943450072
- ISBN-13
- 9781943450077
- License
- CC BY-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
1 Introduction to data 2 Summarizing data 3 Probability 4 Distributions of random variables 5 Foundations for inference 6 Inference for categorical data 7 Inference for numerical data 8 Introduction to linear regression 9 Multiple and logistic regression A Exercise solutions B Data sets within the text C Distribution tables
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