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Author: 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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Author: 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.
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Authors: Fein, Gilmour, Machin, and Hendry
Publisher: University of Southern Queensland
License: CC BY
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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Author: Zaigralin
Publisher: Ivan G. Zaigralin
License: CC BY-SA
Basic Algebra with Applications
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Author: Redden
License: CC BY-NC-SA
Intermediate Algebra is the second part of a two-part course in Algebra. Written in a clear and concise manner, it carefully builds on the basics learned in Elementary Algebra and introduces the more advanced topics required for further study of applications found in most disciplines. Used as a standalone textbook, it offers plenty of review as well as something new to engage the student in each chapter. Written as a blend of the traditional and graphical approaches to the subject, this textbook introduces functions early and stresses the geometry behind the algebra. While CAS independent, a standard scientific calculator will be required and further research using technology is encouraged.
Author: 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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Authors: Callahan, Cox, and Hoffman
Publisher: Smith College Open Educational Resources: Textbooks
License: CC BY
Designing the curriculum We believe that calculus can be for students what it was for Euler and the Bernoullis: a language and a tool for exploring the whole fabric of science. We also believe that much of the mathematical depth and vitality of calculus lies in connections to other sciences. The mathematical questions that arise are compelling in part because the answers matter to other disciplines. We began our work with a "clean slate," not by asking what parts of the traditional course to include or discard. Our starting points are thus our summary of what calculus is really about. Our curricular goals are what we aim to convey about the subject in the course. Our functional goals describe the attitudes and behaviors we hope our students will adopt in using calculus to approach scientific and mathematical questions.
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Author: Wettstein
Publisher: TRAILS
License: CC BY-NC
This upper division resource focuses on how to communicate results through technical writing, use Excel to perform simple statistics, and create professional charts/documents. Excel tutorials are provided for performing descriptive statistics, t-tests, and linear regression as well as using text boxes, formatting figures and captions, and using Equation Editor to insert equations. Additionally, guidance and examples of different communication components are provided along with team writing strategies and guidelines on how to hold efficient meetings.
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Authors: Vardeman and Jobe
Publisher: Iowa State University
License: CC BY-NC-SA
In Basic Engineering Data Collection and Analysis, Stephen B. Vardeman and J. Marcus Jobe stress the practical over the theoretical. Step by step, students get real engineering data and scenario examples along with chapter-long case studies that illustrate concepts in realistic, thoroughly detailed situations. This approach encourages students to work through the material by carrying out data collection and analysis projects from problem formulation through the preparation of professional technical reports—just as if they were on the job.
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Authors: Castro and Mordkoff
Publisher: University of Iowa Libraries
License: CC BY-NC-SA
This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data. In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R).