Foundations of Descriptive and Inferential Statistics

An accessible textbook that teaches statistical inference from the ground up, using a clear Bayesian view of probability and evidence. Everyday examples, from coin flips to real datasets, build genuine understanding.

Brian Blais

Lecture notes that introduce the formal framework of statistical inference. They explain parametric and non-parametric models, point estimation, and how to reason about an unknown population from sample data.

Carnegie Mellon University