## Statistical Inference: Theory and Labs

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Statistical Inference: Theory and Labs is a text designed for a one-semester course in mathematical statistics for students who have already had a one-semester course in Calculus based Probability. The book is self-contained, but moves rapidly through distributions and densities assuming that the reader has seen it before. The book is designed for a course which is roughly two-thirds lectures, and one-third lab experiments done by students on real data sets.

Why another statistics book?

For many years, our statistical inference course at Claremont McKenna College operated in the usual way: students would learn theory about maximum likelihood estimators, consistency, and the Neyman-Pearson Lemma, but would never have a chance to actually use any of what they learned on real-world problems. That's when I decided I needed to create a course textbook where the lectures would be interspersed with lab experiments. It worked great, and so I am happy to be sharing this book with the rest of the world. I hope you find it useful!

Forgot your probability?

Check out my companion (also Open Access and free to download) book, Probability: Theory and Exploration.

Open Access

The book is free to download, print, and use.

Statistical Inference: Theory and Labs

Mark Huber