OpenIntro Statistics

A complete foundation for Statistics, also serving as a foundation for Data Science.

by David Diez, Mine Cetinkaya-Rundel, Christopher Barr

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Book Description

OpenIntro Statistics offers a traditional introduction to statistics at the college level. This textbook is widely used at the college level and offers an exceptional and accessible introduction for students from community colleges to the Ivy League. The textbook has been thoroughly vetted with an estimated 20,000 students using it annually.

Extra benefits of OpenIntro Statistics vs the expensive alternatives:
- Every student can access the textbook, even before the course starts, for free.
- Black-and-white paperbacks are on Amazon for $20.
- Students have forever access to the textbook PDF, including future editions, for free.
- We offer a variety of free supplemental resources, including videos and software labs, on

Self-study learners will be excited to find that:
- The textbook is well-maintained and is now in its 4th Edition.
- OpenIntro is heavily used in industry since it focuses on applied statistics.
- Additional resources on, including videos and labs, help learners of all types.

This open book is licensed under a Creative Commons License (CC BY-SA). You can download OpenIntro Statistics ebook for free in PDF format (21.5 MB).

Table of Contents

Chapter 1
Introduction to data
Chapter 2
Summarizing data
Chapter 3
Chapter 4
Distributions of random variables
Chapter 5
Foundations for inference
Chapter 6
Inference for categorical data
Chapter 7
Inference for numerical data
Chapter 8
Introduction to linear regression
Chapter 9
Multiple and logistic regression
Chapter A
Exercise solutions
Chapter B
Data sets within the text
Chapter C
Distribution tables

Book Details

Computer Science
ISBN13 Digital
ISBN10 Digital
PDF Size
21.5 MB

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