Applied Textbooks
The Art of Polynomial Interpolation
Contributor: Murphy
Publisher: Pennsylvania State University
License: CC BY-NC
The inspiration for this text grew out of a simple question that emerged over a number of years of teaching math to Middle School, High School and College students.
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Mathematics for Biomedical Physics
Copyright Year: 2022
Contributor: Wadehra
Publisher: Wayne State University Library System
License: CC BY
Mathematics for Biomedical Physics is an open access peer-reviewed textbook geared to introduce several mathematical topics at the rudimentary level so that students can appreciate the applications of mathematics to the interdisciplinary field of biomedical physics. Most of the topics are presented in their simplest but rigorous form so that students can easily understand the advanced form of these topics when the need arises. Several end-of-chapter problems and chapter examples relate the applications of mathematics to biomedical physics. After mastering the topics of this book, students would be ready to embark on quantitative thinking in various topics of biology and medicine
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Introduction to Applied Statistics for Psychology Students
Copyright Year: 2022
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
Copyright Year: 2020
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
Copyright Year: 2021
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
Copyright Year: 2021
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
Copyright Year: 2010
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
Copyright Year: 2021
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
Copyright Year: 2021
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
Copyright Year: 2021
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)