Applied Textbooks

Introduction to Applied Statistics for Psychology Students

Contributor: Sarty

Publisher: University of Saskatchewan

License: CC BY-NC-SA

Introduction to Applied Statistics for Psychology Students, by Gordon E. Sarty (Professor, Department of Psychology, University of Saskatchewan) began as a textbook published in PDF format, in various editions between 2014-2017. The book was written to meet the needs of University of Saskatchewan psychology students at the undergraduate (PSY 233, PSY 234) level.

(1 review)

Evidence-based Software Engineering

Contributor: Jones

Publisher: Knowledge Software

License: CC BY-SA

This book discusses what is currently known about software engineering, based on an analysis of all the publicly available data. This aim is not as ambitious as it sounds, because there is not a great deal of data publicly available.

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Mostly Harmless Statistics

Contributor: Webb

Publisher: Portland State University Library

License: CC BY-SA

This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. The focus of the text follows the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE). Software examples provided for Microsoft Excel, TI-84 & TI-89 calculators. A formula packet and pdf version of the text are available on the website http://mostlyharmlessstatistics.com. Students new to probability and statistics are sure to benefit from this fully ADA accessible and relevant textbook. The examples resonate with everyday life, the text is approachable, and has a conversational tone to provide an inclusive and easy to read format for students.

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Intermediate Statistics with R

Contributor: Greenwood

Publisher: Montana State University

License: CC BY-NC

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 summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis “looks like”. Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. This is Version 3.0 of the book.

(2 reviews)

Introduction to Statistical Thinking

Contributor: Yakir

Publisher: Benjamin Yakir

License: CC BY

The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more. It is assumed that the students do have basic skills in using computers and have access to one. Moreover, it is assumed that the students are willing to actively follow the discussion in the text, to practice, and more importantly, to think.

(1 review)

Informal Calculus with Applications to Biological and Environmental Sciences

Contributors: Seacrest, Seacrest, Levine, and Anderson

Publisher: TRAILS

License: CC BY

This book is an approachable introduction to calculus with applications to biology and environmental science. For example, one application in the book is determining the volume of earth moved in the 1959 earthquake that created Quake Lake. Another application uses differential equations to model various biological examples, including moose and wolf populations at Isle Royale National Park, ranavirus in amphibians, and competing species of protozoa. The text focuses on intuitive understanding of concepts, but still covers most of the algebra and calculations common in a survey of calculus course.

(2 reviews)

PSYC 2200: Elementary Statistics for the Behavioral and Social Sciences

Contributor: Oja

Publisher: LibreTexts

License: CC BY-SA

Welcome to behavioral statistics, a statistics textbook for social science majors!

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Technical Mathematics

Contributor: Chase

Publisher: Open Oregon Educational Resources

License: CC BY-NC-SA

This developmental-level mathematics textbook is intended for career-technical students.

(5 reviews)

Math in Society: Mathematics for liberal arts majors

Contributor: Lee

Publisher: Portland Community College Math Department

License: CC BY-SA

We dedicate this book to our students. May you have greater ease in paying for college and grow your proficiency and confidence in math.

(2 reviews)

Introduction to Game Theory: a Discovery Approach

Contributor: Nordstrom

Publisher: Jennifer Firkins Nordstrom

License: CC BY-SA

Game theory is an excellent topic for a non-majors quantitative course as it develops mathematical models to understand human behavior in social, political, and economic settings. The variety of applications can appeal to a broad range of students. Additionally, students can learn mathematics through playing games, something many choose to do in their spare time! This text also includes an exploration of the ideas of game theory through the rich context of popular culture. It contains sections on applications of the concepts to popular culture. It suggests films, television shows, and novels with themes from game theory. The questions in each of these sections are intended to serve as essay prompts for writing assignments.

(4 reviews)