Advanced Data Analysis from an Elementary Point of View

A short, self-testing guide to the statistics a research student actually needs, from descriptive measures and distributions through t tests, ANOVA, correlation, and regression. Worked examples use the free jamovi software.

Erich C. Fein, John Gilmour, Tanya Machin and Liam Hendry

A full university statistics course written around the idea that the point of the method is the meaning you extract from the data. Covers sampling, estimation, hypothesis testing, and regression with real datasets at every step.

R. Nazim Khan

A rigorous treatment of the statistical methods used to analyze experimental measurements, covering error propagation, parameter estimation, likelihood, hypothesis tests, and deconvolution. Written for readers working with real experimental data.

Gerhard Bohm, Günter Zech