Applied Textbooks
Evidence-based Software Engineering
Contributor: Jones
Publisher: Knowledge Software
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
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
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.
(1 review)
Introduction to Statistical Thinking
Contributor: Yakir
Publisher: Benjamin Yakir
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
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.
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PSYC 2200: Elementary Statistics for the Behavioral and Social Sciences
Contributor: Oja
Publisher: LibreTexts
Welcome to behavioral statistics, a statistics textbook for social science majors!
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Technical Mathematics
Contributor: Chase
Publisher: Open Oregon Educational Resources
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
We dedicate this book to our students. May you have greater ease in paying for college and grow your proficiency and confidence in math.
(1 review)
Introduction to Game Theory: a Discovery Approach
Contributor: Nordstrom
Publisher: Jennifer Firkins Nordstrom
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)
Quantitative Problem Solving in Natural Resources
Contributor: Moore
Publisher: Iowa State University
This text is intended to support courses that bridge the divide between mathematics typically encountered in U.S. high school curricula and the practical problems that natural resource students might engage with in their disciplinary coursework and professional internships.
(1 review)