Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy

OpenIntro Statistics

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

by David Diez, Mine Cetinkaya-Rundel, Christopher Barr

OpenIntro Statistics

Subscribe to new books via dBooks.org telegram channel

Join
DescriptionTable of ContentsDetailsReport an issue

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
CC BY-SA

Related Books

Understanding Statistics and Experimental Design
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III pr...
Empirical Research in Statistics Education
This ICME-13 Topical Survey provides a review of recent research into statistics education, with a focus on empirical research published in established educational journals and on the proceedings of important conferences on statistics education. It identifies and addresses six key research topics, namely: teachers' knowledge; teachers' ro...
A Concise Guide to Market Research
This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods. It is intended for all readers who wish to know more about the market research process, data management, and the most commonly used methods in m...
Statistics and Analysis of Scientific Data
The revised 2nd edition of this book provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribut...
Lies, Damned Lies, or Statistics
This is a free textbook for a one-semester, undergraduate statistics course. It was used for Math 156 at Colorado State University - Pueblo in the spring semester of 2017....
Intermediate Statistics with R
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical su...