Digital library
Textbooks, references and open learning resources.

External
Math in Society
David Lippman · Pierce College
This book is a survey of contemporary mathematical topics, most non-algebraic, appropriate for a college-level quantitative literacy topics course for liberal arts majors. The text is designed so that most chapters are independent, allowing the instructor to choose a selection of topics to be covered. Emphasis is placed on the applicability of the mathematics.

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The Essence of Mathematics Through Elementary Problems
Alexandre Borovik & Tony Gardiner · University of Manchester & University of Birmingham
The Essence of Mathematics consists of a sequence of 270 problems – with commentary and full solutions. The reader is assumed to have a reasonable grasp of school mathematics. More importantly, s/he should want to understand something of mathematics beyond the classroom, and be willing to engage with (and to reflect upon) challenging problems that highlight the essence of the discipline.

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Business Math
Jean-Paul Olivier · Red River College of Applied Arts, Science, & Technology
Business math is the study of mathematics required by the field of business. Business professionals will work with taxes, gross earnings, product prices, and currency exchange; they will be offered loans, lines of credit, mortgages, leases, savings bonds, and other financial tools. This textbook covers all of these topics and how these financial tools can maximize their earnings and minimize their costs. It discusses how to execute smart monetary decisions both personally and for their business.

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Financial Strategy for Public Managers
Kioko and Marlowe · LibreTexts
Financial Strategy for Public Managers is a new generation textbook for financial management in the public sector. It offers a thorough, applied, and concise introduction to the essential financial concepts and analytical tools that today’s effective public servants need to know.

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Calculus for Business and Social Sciences Corequisite Workbook
Victoria Dominguez, Cristian Martinez, & Sanaa Saykali · Citrus College
In the contents: 2.04: Applied Examples · 4.12: Applied Examples of Functions · 7.06: Applied Examples

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Biological Statistics
John H. McDonald · University of Delaware
The goal in that class is to teach biology students how to choose the appropriate statistical test for a particular experiment, then apply that test and interpret the results. In my class and in this textbook, I spend relatively little time on the mathematical basis of the tests; for most biologists, statistics is just a useful tool, like a microscope, and knowing the detailed mathematical basis of a statistical test is as unimportant to most biologists as knowing which kinds of glass were used
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Agent-Based Evolutionary Game Dynamics
Luis R. Izquierdo, Segismundo S. Izquierdo, & William H. Sandholm · University of Wisconsin - Madison
A guide to implement and analyze Agent-Based Models within the framework of Evolutionary Game Theory, using NetLogo

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Understanding Elementary Mathematics
Julie Harland · MiraCosta College
Understanding Elementary Mathematics, a series of hands-on Workbook Modules, was written especially for prospective elementary school teachers in a way that they would actively learn the structures, concepts and foundations of elementary mathematics.

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Answering Questions with Data - Introductory Statistics for Psychology Students
Matthew J. C. Crump · Brooklyn College of CUNY
This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.

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An Introduction to Psychological Statistics
Foster et al. · LibreTexts
We are constantly bombarded by information, and finding a way to filter that information in an objective way is crucial to surviving this onslaught with your sanity intact. This is what statistics, and logic we use in it, enables us to do. Through the lens of statistics, we learn to find the signal hidden in the noise when it is there and to know when an apparent trend or pattern is really just randomness.

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Career/Life Planning and Personal Exploration
LibreTexts
Career/Life Planning and Personal Exploration is designed to cover theories and concepts of values, interests, skills and personality as applied to the career/life planning process and its application to labor market trends. Short/long term career/life plans will be developed. Students will develop an awareness of diversity and its relationship to psychological, sociological and physiological forces within the workplace.

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Frameworks for Academic Writing
Steve Poulter · Newman University
This text is quite different from any other textbook or writing system. First, it is designed for a wide range of writing abilities, from beginning to expert academic writers. Writers who are simply unfamiliar with academic writing patterns benefit from sentence-by-sentence templates, prompts, tutorials, and examples. We have successfully applied the system to all academic writers, from 3rd-graders to dissertation writers. Secondly, the book is designed for a wide range of teaching abilities.

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Quantitative Problem Solving in Natural Resources
Peter L. Moore · 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.

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International Trade - Theory and Policy
Anonymous · LibreTexts
In the contents: 1.9: Appendix B- Bound versus Applied Tariffs

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Social Data Analysis: Qualitative and Quantitative Approaches
Mikaila Mariel Lemonik Arthur and Roger Clark · Rhode Islange College
This book is meant to help you in your initial attempts to analyze data. In doing so it will introduce you to ways that others have found useful in their attempts to organize data. You might think of it as like a recipe book, a resource that you can refer to as you prepare data for your own consumption and that of others. And, like a recipe book that teaches you to prepare simple dishes, you may find this one pretty exciting.

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Mathematics for Elementary Teachers
Michelle Manes · University of Hawaii
This book will help you to understand elementary mathematics more deeply, gain facility with creating and using mathematical notation, develop a habit of looking for reasons and creating mathematical explanations, and become more comfortable exploring unfamiliar mathematical situations.

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Learning Statistics with R - A tutorial for Psychology Students and other Beginners
DJ Navarro · University of New South Wales
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. Then the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered afterward.

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Statistics for Research Students
Erich C Fein, John Gilmour, Tayna Machin, and Liam Hendry · University of Southern Queensland
This book aims to help you understand and navigate statistical concepts and the main types of statistical analyses essential for research students.

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Physics 9HA: Classical Mechanics
Tom Weideman · University of California, Davis
Physics 9HA introduces general principles and analytical methods used in classical mechanics primarily for physics and applied physics majors, though it is also a good fit for engineering students that have a special affinity for physics and are looking for a more challenging first course in physics.

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Numerical Methods
Jeffrey R. Chasnov · Hong Kong University of Science and Technology
These notes, taught at the Hong Kong University of Science and Technology with two lecture hours per week, are primarily for non-mathematics majors and were required by several engineering departments.