Digital library
Textbooks, references and open learning resources.
External
Mike’s Biostatistics Book
Michael R Dohm · Chaminade University
In the contents: 2.1: Why (Bio)Statistics · 2.3: A brief history of (bio)statistics · 2.4: Experimental Design and rise of statistics in medical research
External
Statistics Done Wrong
Alex Reinhart · Carnegie Mellon University
In the contents: 02: Statistical Power and Underpowered Statistics
External
Introduction to Statistics (RRCC)
Mathematics Department · Red Rocks Community College
In the contents: 1.01: What is Statistics
External
Applied Statistics for Social Science
LibreTexts
In the contents: 1.2: Definitions of Statistics, Probability, and Key Terms · 02: Descriptive Statistics · 2.1: Prelude to Descriptive Statistics
External
A Contemporary Approach to Research and Statistics in Psychology
Klaire Somoray · James Cook University
In the contents: 1.01: What can Statistics do for us · 1.03: Big Ideas in Statistics · 09: Beyond Research and Statistics
External
Statistics Through an Equity Lens (Anthony)
Yvonne Anthony · Massachusetts Bay Community College
In the contents: 1.01: An Overview of Statistics · 1.02: Descriptive Statistics · 1.04: Inferential Statistics- Sampling Methods
External
PSYC 330: Statistics for the Behavioral Sciences with Dr. DeSouza
LibreTexts
In the contents: 01: What are Statistics · 1.01: What are statistics · 1.02: Why do we study statistics
External
Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
In the contents: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.01: Prelude to Descriptive Statistics
External
Introductory Statistics
Hannah Seidler-Wright · Chaffey College
In the contents: 1.01: Welcome to Statistics · 02: Descriptive Statistics · 2.01: Descriptive Statistics - Dotplots and Histograms
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Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics
Jonathan A. Poritz · Colorado State University – Pueblo
In the contents: 01: One-Variable Statistics - Basics · 02: Bi-variate Statistics - Basics · 06: Inferential Statistics
External
Math 10: Elementary Statistics
Cliff Hwang · Mission College
In the contents: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 2.01: Prelude to Descriptive Statistics
External
MGT 235: Introductory Business Statistics
Gettysburg College · LibreTexts
In the contents: 1.02: Definitions of Statistics Probability and Key Terms · 02: Descriptive Statistics · 11.03: C - Reporting Statistics in APA Style
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Analysis of Variance and Design of Experiments
The Pennsylvania State University · LibreTexts
This is a graduate-level course that provides a thorough introduction to statistical methods used to analyze data resulting from a wide range of experimental designs. The concepts of comparative experiments, randomization, replication, repeated measures, blocking, and factorial designs will be discussed. The main goal of the course will be to develop problem-solving skills for identifying a variety of designs and making inferences on associated parameters.
External
PSY 203 Research Methods in Psychology
Malaika Brown and Ross Seligman · Citrus College
In the contents: 12: Descriptive Statistics · 12.05: Descriptive Statistics (Summary) · 13: Inferential Statistics
External
Applied Probability
Paul Pfeiffer · Rice University
In the contents: 13.03: Simple Random Samples and Statistics
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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.
External
Natural Resources Biometrics
Diane Kiernan · SUNY College of Environmental Science and Forestry
In the contents: 01: Descriptive Statistics and the Normal Distribution · 1.01: Descriptive Statistics
External
Quantitative Research Methods for Political Science, Public Policy and Public Administration
Jenkins-Smith et al. · University of Oklahoma
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses.
External
Workshop Copy of African American History
LibreTexts
LibreTexts
External
MAT 1130: Mathematical Ideas
Andy Jones · Prince George's Community College
In the contents: 04: Statistics · 4.01: Introduction to Statistics and Sampling