An Introduction to the Science of Statistics: From Theory to Implementation

OpenStax flagship statistics textbook covering sampling, descriptive statistics, probability, distributions, Central Limit Theorem, confidence intervals, hypothesis testing, chi-square, regression, and ANOVA.

Barbara Illowsky, Susan Dean, Daniel Birmajer

Comprehensive introduction covering descriptive statistics, probability, regression, and inferential methods. Public domain resource from Rice University with multiple contributing authors.

David M. Lane

Comprehensive applied statistics textbook using SPSS. Covers descriptive statistics, probability, distributions, hypothesis testing, ANOVA, regression, and the General Linear Model with psychology examples.

Gordon E. Sarty

OER textbook for behavioral and social sciences covering descriptive statistics, probability, hypothesis testing, t-tests, ANOVA, correlation, regression, and chi-square. Practical examples from psychology.

Michelle Oja

Widely adopted open-source statistics textbook covering data collection, probability, distributions, inference, and regression. Includes real-world datasets, exercises, and labs with R integration.

David Diez, Mine Cetinkaya-Rundel, Christopher Barr