Statistics for Research 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

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

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