Introduction to Applied Statistics for Psychology Students

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

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

Bridges theory and implementation with topics from data display through hypothesis testing and ANOVA. Includes R-based exercises and covers regression, chi-squared tests, and nonparametric methods.

Joseph C. Watkins

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