Introduction to Statistics and Data Analysis for Physicists

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 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