OpenIntro Statistics
OpenIntro Statistics is a dynamic take on the traditional curriculum, being successfully used at Community Colleges to the Ivy League
OpenIntro Statistics is recommended for college courses and self-study.
Getting Started
Amazon KDP raised book print prices by ≈40% in 2023. These changes will net Amazon over $50,000 per year from sales on OpenIntro books, and we expect that OpenIntro will lose money as a result of reduced sales. We are continuing to explore alternative printers to Amazon that provide better quality books as well as selling more books outside of Amazon.
All of our website / resource links to Amazon are affiliate links. When you shop on Amazon using these links, we receive a small commission at no extra charge to you.
FREE -- OpenIntro Statistics PDF
If you want to skip the optional contribution, set the price to $0
$25 -- B&W paperback
Available on Amazon and in select bookstores
$40 -- Color paperback
On Amazon, soon to be available in select bookstores
FREE -- Book PDF Best for Screen Readers
More detailed table of contents, extra text to ease aid navigation (e.g. explicitly noting when an example starts and ends), and "alt text" for all images. Note that page numbers do *not* alignn with the original PDF, so please use section, figure, example, et al numbers for referencing and navigation. Please send feedback via the openintro.org/contact page.
Learning objectives
What we hope students will learn from these resources
Data sets
List of data sets and the option to download files
Where to find more data sets
An incredible list of data organized by Shonda Kuiper
Send feedback or report a typo
We appreciate feedback, both positive and negative
List of known textbook typos
Review textbook typos and clarifications
Translations + Other International Distribution
For those using a translated version, please send your warm wishes to the team behind these translations! We deeply appreciate their contributions to the community!
A Japanese translation has been created by a team of Japanese faculty! This translation is available below in both PDF (on Dr. Kunitomo's page) and as an affordable paperback (via the Japanese Statistical Association).
FREE -- Japanese translation of OpenIntro Statistics PDF
Translation by Naoto Kunitomo, Yasushi Yoshida, & Atsuyuki Kogure
Japanese translation, B&W paperback for ¥1980
Translated by Naoto Kunitomo, Yasushi Yoshida, & Atsuyuki Kogure
A Chinese translation is under development by Shiyao Wang and Xueqi Li! A recent draft of the progress is available below.
FREE -- Chinese translation of Ch 1-6 (PDF)
Translation by Shiyao Wang & Xueqi Li
Follow the Chinese translation updates on WeChat
Leads to a WeChat page
The paperbacks linked below are for the English version, which is also available in several countries via Amazon.
Click to see all international options
Paperbacks for Canada, UK, India, Germany, and more
Teachers: General Resources
Resources for teachers, some of which are restricted to Verified Teachers only. Slides, labs, and other resources may also be found in the corresponding chapter sections below.
Learn about Teacher Verification
Benefits, options to apply, and the verification process
Request a textbook desk copy (US only)
Available to Verified Teachers, click here to apply for access
OpenIntro Statistics exercise solutions
Available to Verified Teachers, click here to apply for access
Bookstore Ordering (bulk)
Wholesale purchase options for resellers only
MyOpenMath: online course software
Free course software, OpenIntro course templates are available
MyOpenMath: setting up an OpenIntro course
Course templates exist for some OpenIntro books
OpenIntro Statistics, info on past editions
Content, prices, and availability details
Teachers page with additional resources
Some public resources, others restricted to Verified Teachers
Teachers: Sample Syllabi
OpenIntro Statistics, Syllabus 1
Mine Çetinkaya-Rundel, Duke University
OpenIntro Statistics, Syllabus 2
Curry Hilton, University of Alabama
OpenIntro Statistics, Syllabus 3
Albert Kim, Middlebury College
Teachers: Sample Exams
Restricted to Verified Teachers only.
OpenIntro Statistics Exams, Set 1
Available to Verified Teachers, click here to apply for access
Openintro Statistics Exams, Set 2
Available to Verified Teachers, click here to apply for access
Multiple choice exam question bank (RExams)
Available to Verified Teachers, click here to apply for access
OpenIntro Statistics, Sample Exams (Adam Gilbert)
Available to Verified Teachers, click here to apply for access
ISLBS, Sample Midterm and Final Exams (Julie Vu)
Available to Verified Teachers, click here to apply for access
ISRS, Sample Midterms and Final Exam (Albert Kim)
Available to Verified Teachers, click here to apply for access
What is Statistics?
These resources give a taste of what statisticians, also known as data scientists, do in the real world.
Videos about applying Statistics
Explore Statistics applications through these short videos!
Why the term "Data Science" is so confusing
The two main types of data scientists: Analysis and Building
Companion Notebook
This new resource is in beta and is an interactive learning experience. This resource can serve many purposes for different students: a way to learn material, study for an exam, check understanding, and so on. If you have feedback, please send us a note on our Contact page.
For Posit Cloud, we recommend starting with a free account and only upgrading to a paid account if you exhaust your monthly free time.
Student Guide for OS4 Companion Notebook
Video guide for a student to make use of the OS4 Companion Notebook
OS4 Companion Notebook
Interactive learning option (in beta)
Frequently Asked Questions
Trouble-shooting tips
Grading functionality
Chapter 1: Intro to Data
Videos for each section
Introduction to Data: 5 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Intro to Statistical Software
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, SAS, Stata
Chapter 2: Summarizing Data
Videos for each section
Summarizing Data: 3 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Introduction to data
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Class Activity: Descriptive Measures
Collecting and exploring Instagram data
Weighted mean
Supplemental section: How and when to use weighting
Chapter 3: Probability
Videos for some sections
Probability: 3 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Probability
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Chapter 4: Distributions
Videos for some sections
Distributions: 3 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Normal distribution
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Class Activity: Sampling Distributions
As presented at Women in Stat and DS Conference
Normal distribution calculator
Online tool for normal distribution calculations
Chapter 5: Foundations for Inference
Videos for each section
Foundations for Inference: 4 videos
Why do we use 0.05 as a significance level?
Inquiring minds want to know -- let's explore!
Slides for each section
Google Slides & LaTeX variants available
Lab - Intro to inference
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Lab - Confidence levels
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
One-page inference guide
Covers one-sample and diff of means and proportions
Chapter 6: Inference for Categorical Data
Videos for each section
Inference for categorical data: 3 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Inference for categorical data
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Hypothesis testing for small sample proportions
Supplemental section: When the success-failure condition fails
Online app for Central Limit Theorem for proportions
This is a Shiny app for exploration
Chapter 7: Inference for Numerical Data
Videos for each section
Inference for categorical data: 8 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Inference for numerical data
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Class Activity: Correlation
Students compare and correlate movie ratings
Sample size and power (one-sample)
Supplemental section: on power in the one-sample scenario
Better understand ANOVA calculations
Supplemental section: Details behind ANOVA
Online app for Central Limit Theorem for means
This is a Shiny app for exploration
Chapter 8: Introduction to Linear Regression
Videos for each section
Intro to linear regression: 5 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Linear regression
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
Chapter 9: Multiple and Logistic Regression
Videos for some sections
Multiple & logistic regression: 4 videos
Slides for each section
Google Slides & LaTeX variants available
Lab - Multiple regression
Software: R (Base), R (Tidyverse), Rguroo, Jamovi, JASP, Python, SAS, Stata
More inference for linear regression
Supplemental section: Confidence and prediction intervals
Interaction terms
Supplemental section: When predictors impact outcomes in complex ways
Regression for nonlinear relationships
Supplemental section: When a straight line doesn't make sense
Online app for better understanding regression
This is a Shiny app for exploration
More Resources
Worked exercise examples (video)
Playlist of a collection of worked exercises
Video guide: Casio fx-9750GII
Playlist covering all intro statistics topics for this calculator
Video guide: TI-83 and TI-84
Playlist for all intro statistics topics for both calculators
Casio fx-9750GII graphing calculator guide
Written guide covering intro statistics functionality
TI-83 / TI-84 graphing calculator guide
Written guide covering intro statistics functionality
Distribution calculators
Covers the normal, t, and chi-square distributions
Probability tables
Covers the normal, t, and chi-square distributions
OpenIntro Statistics LaTeX source files
Leads to the Github repository
Sample Student Projects
These projects were completed in the early years of OpenIntro. We will consider posting new student projects jointly submitted by a Verified Teacher and student(s).
Lobbying and SOPA/PIPA
Intern project completed by Luke Paulsen
Data for Lobbying and SOPA/PIPA
Original data set
R Code for Lobbying and SOPA/PIPA project
Run to reproduce the analysis
Modeling Population Growth in US
Intern project completed by Luke Paulsen
Data for Modeling Population Growth in US
Updated data set
R Code for Modeling Population Growth in US
Data set and variable names may need updates
Fluorescence Resonance Energy Transfer
By Sebastian Raschka
Bootstrapping Simulation
By Yiyang Hu
Our International Image
By Ryan Boone, Kanya Manoj, Jacob Zionce
Modeling Mortality Rates with Env. Var.
By Fernandez XD, Davis K, Weishampel A, McMillan A
More Free Books
Beyond the set of textbooks we offer on openintro.org, many other authors have made their books publicly available. The links below go to the places where these other authors posted their books for free for anyone.
Statistical Inference via Data Science
Paperbacks run about $75
A First Course in Design and Analysis of Experiments
Includes supplemental resources
An Introduction to Statistical Learning
Physical copies are about $80
Elements of Statistical Learning
Physical copies are about $90
Principles of Epidemiology in Public Health Practice
Print version at bookstore.phf.org for about $65
Survival Analysis in R
Workshop materials and a guide for survival analysis in R
Introduction to Probability
Physical copies are about $60
Practical Regression and ANOVA using R
Related publisher title: Linear Models with R
Think Stats
Physical copies are about $30
Collaborative Statistics on CNX.org
Physical copies are about $30 on Lulu
CK-12 Probability and Statistics
CK-12 offers many open-source textbooks
Introduction to Statistical Thought
Upper division or intro grad level
Introduction to Probability and Statistics Using R
Available on R-Forge
Online Statistics Education
An Interactive Multimedia Course of Study
Introduction to Statistical Thinking
With R, Without Calculus