Books written by mosaic authors or using the mosaic toolkit.

*Statistical Modeling: A Fresh Approach*by Daniel Kaplan- A recent remix by R Pruim
- The 2011 edition in a free, online format.
Additional resources:
- end of chapter exercises
- Updated introduction to the R-language commands used in the book:
*[Statistical Modeling: Computational Technique]*(https://www.mosaic-web.org/go/SM2-technique/index.html) by Daniel Kaplan and Frank Shaw.

*MOSAIC Calculus*by Daniel T Kaplan*Foundations and Applications of Statistics: An Introduction using R*by Randall Pruim- NEW!
*Lessons in Statistical Thinking*by Daniel Kaplan. A complete rethinking of a university-level introductory statistics course. This is a replacement for the traditional introduction to statistical inference. It emphasizes modeling, covariates, confounding, and causal inference. It has a strong orientation to decision-making, treats p-values repectfully by honestly as a curtailed form of Bayesian inference.*Lessons in Statistical Thinking*was originally envisioned as an extension for*ModernDive: Statistical Inference via Data Science*, but has grown into a text for a complete introductory or second statistics course. *A Studentâ€™s Guide to R*is organized by analysis method. It demonstrates how to perform all of the statistical analyses typically covered in an Intro Stats.