Digital library
Textbooks, references and open learning resources.
External
Research Methods in Psychology
Jhangiani, Chiang, Cuttler, & Leighton · LibreTexts
In the contents: 12: Descriptive Statistics · 12.05: Descriptive Statistics (Summary) · 13: Inferential Statistics
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Workplace Safety for US Workers
Kimberly Mosley · Long Beach City College
Over 160 million persons are employed in the US according to the Bureau of Labor Statistics (2022). The efficient and functioning parts of any society require a willing and trained labor force. A very important aspect of skilled and trained labor in civil society is the safe workplace. This resource considers the history of work in the US and the intersection of social, economic, and environmental justice issues that undergird the included OSHA safety standards all workplaces must follow.
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MAT 1160: Data & Chance
Andy D. Jones · Prince George's Community College
In the contents: 01: An Introduction to Statistics · 1.01: What Is Statistics
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Acoustics
Wikipedia · LibreTexts
Acoustics is the science that studies sound, in particular its production, transmission, and effects. The science of acoustics has many applications which are dependent upon the nature of the sound that is to be produced, transmitted or controlled. In the case of a desirable sound, such as music, the main application of acoustics is to make the music sound as good as possible.
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UH Maui College: Psychology 212 Research Methods
Paul Thornton · University of Hawaii Maui College
In the contents: 07: Descriptive Statistics · 7.5: Descriptive Statistics (Summary) · 10: Inferential Statistics
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Statistical Thermodynamics
Gunnar Jeschke · ETH Zürich
In the contents: 5.02: Quantum and Classical Statistics
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Experimental Design
Lydia Yang · Kansas State University
In the contents: 2.03: Computing the F statistics
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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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Foundations in Statistical Reasoning
Peter Kaslik · Pierce College Fort Steilacoom
In the contents: 03: Examining the Evidence using Graphs and Statistics · 3.E: Examining the Evidence using Graphs and Statistics (Exercises)
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Introductory Probability
Charles Grinstead & J. Laurie Snell · Dartmouth & Swarthmore Universities
This text is designed for an introductory probability course taken by sophomores, juniors, and seniors in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. The text can be used in a variety of course lengths, levels, and areas of emphasis.
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Mathematical Reasoning
Pamini Thangarajah · Mount Royal University
In the contents: 6: Introduction to Statistics · 6.E: Introduction to Statistics (Exercises)
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Time Series Analysis
Alexander Aue · University of California, Davis
A time series is an ordered sequence of values of a variable at equally spaced time intervals. Time series analysis accounts for the fact that data points taken over time may have an internal structure (such as autocorrelation, trend or seasonal variation) that should be accounted for.
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Quantitative Methods for Plant Breeding
Walter Suza and Kendall Lamkey · Iowa State University
This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.
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Analytical Chemistry 2.1
David Harvey · DePauw University
The introductory course in analytical chemistry is the ideal place in the undergraduate chemistry curriculum for exploring topics such as experimental design, sampling, calibration strategies, standardization, optimization, statistics, and the validation of experimental results. Analytical methods come and go, but best practices for designing and validating analytical methods are universal.
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Non-Equilibrium Statistical Mechanics
Jianshu Cao · Massechusetts Institute of Technology
This course discusses the principles and methods of non-equilibrium statistical mechanics. Basic topics covered are stochastic processes, regression and response theory, molecular hydrodynamics, and complex liquids. Selected applications, including fluctuation theorems, condensed phase reaction rate theory, electron transfer dynamics, enzymatic networks, photon counting statistics, single molecule kinetics, reaction-controlled diffusion, may also be discussed.
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Research Methods in Psychology
Carrie Cuttler et al. · Washington State University
In the contents: 12: Descriptive Statistics · 13: Inferential Statistics · 13.0: Prelude to Inferential Statistics
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Statistical Thinking for the 21st Century
Russell A. Poldrack · Stanford University
In the contents: 1.02: Dealing with Statistics Anxiety · 1.03: What Can Statistics Do for Us · 1.04: The Big Ideas of Statistics
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Kansas State University: Human Nutrition
Brian Lindshield · Kansas State University
In the contents: 1.05: Nutrition Research Statistics
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Public Health 101
Erin Calderone · Glendale Community College
In the contents: 5.09: Where Can We Find Current Public Health Statistics · 6.03: Vital Statistics · 12.3.02: Statistics are People
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Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
In the contents: 6.05: Math Statistics with Arrays