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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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 openintro.org.
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 openintro.org, including videos and labs, help learners of all types. 
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 openintro.org.
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 openintro.org, 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
Probability
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
Title
OpenIntro Statistics
Subject
Computer Science
Publisher
Self-publishing
Published
2019
Pages
422
Edition
4
Language
English
ISBN13 Digital
9781943450077
ISBN10 Digital
1943450072
PDF Size
21.5 MB
License
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