Digital library
Textbooks, references and open learning resources.
External
The Stories Behind Social Statistics: Data Analysis, Interpretation, and Communication
Ezra Temko · Southern Illinois University Edwardsville
This text presents introductory social statistics concepts and techniques and how to use SPSS software.
External
Answering Questions with Data - Introductory Statistics for Psychology Students
Matthew J. C. Crump · Brooklyn College of CUNY
In the contents: 01: Why Statistics · 1.01: On the Psychology of Statistics · 1.03: Statistics in Psychology
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Linear Regression Using R - An Introduction to Data Modeling
David Lilja · University of Minnesota
Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language.
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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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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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Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
In the contents: 6.05: Math Statistics with Arrays
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Programming Fundamentals - A Modular Structured Approach using C++
Kenneth Leroy Busbee · Houston Community College
In the contents: 20.04: Math Statistics with Arrays
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CSP31A - C Programming
LibreTexts
In the contents: 19.4: Math Statistics with Arrays
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Introduction to Data Analytics
Felix Amoruwa · De Anza College
In the contents: 6.01: Introduction- The Role of Statistics in Data Analytics · 6.02: Descriptive Statistics- Summarizing Data · 6.04: Inferential Statistics- From Samples to Populations
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Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
In the contents: 09: MATLAB Random Number and Statistics Functions · 9.02: MATLAB Statistics Functions
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Python Programming
OpenStax · LibreTexts
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment.
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Introduction to Social Network Methods
Robert Hanneman & Mark Riddle · University of California, Riverside
In the contents: 1.05: A note on Statistics and Social Network Data
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Statistical Analysis of Data for Engineers
Joshua Steimel · Cal Poly Humbolt
In the contents: Chapter 01: Importance of Statistics and Experimental Measurements
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Intro to Programming with Programming Fundamentals and Python for Everyone
LibreTexts
In the contents: 19.09: Math Statistics with Arrays
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Principles of Data Science
OpenStax · LibreTexts
In the contents: 03: Descriptive Statistics- Statistical Measurements and Probability Distributions · 04: Inferential Statistics and Regression Analysis
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The Crystal Ball - Instruction Manual I: Introduction to Data Science
Stephen Davies · University of Mary Washington
In the contents: 15.03: Numerical Data- Other Summary Statistics
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DSCI 500B Essential Probability Theory for Data Science (Kuter)
Kristin Kuter · Saint Mary's College
LibreTexts
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Data and the Modern World
Alan Polansky · Northern Illinois University
In the contents: 15: Ethics in Data Science and Statistics