Statistics: Meaning from Data

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 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

A very extensive treatment of modern statistical data analysis, covering regression, smoothing, causal inference, time series, and simulation, all worked through in R. Nearly 900 pages built from a Carnegie Mellon course.

Cosma Rohilla Shalizi