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---
title: "MOSAIC books"
description: |
Books written by mosaic authors or using the mosaic toolkit.
---
### Books by the mosaic team
* *Statistical Modeling: A Fresh Approach* by Daniel Kaplan
- [A recent remix by R Pruim](https://statistical-modeling.netlify.app/)
- The 2011 edition in a [free, online format](https://dtkaplan.github.io/SM2-bookdown/). Additional resources:
- [end of chapter exercises](https://www.mosaic-web.org/go/SM2-Problems.pdf)
- 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*](https://dtkaplan.github.io/MOSAIC-Calculus/) by Daniel T Kaplan
* [*Foundations and Applications of Statistics: An Introduction using R*](https://bookstore.ams.org/amstext-28/) by Randall Pruim
* NEW! [*Lessons in Statistical Thinking*](https://dtkaplan.github.io/Lessons-in-statistical-thinking/) by Daniel Kaplan. A [complete rethinking](https://dtkaplan.github.io/Math300blog/posts/StatChat-10-2023/) 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 but 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 *](moderndive.org), but has grown into a text for a complete introductory or second statistics course.
* [*A Student's Guide to R*](https://github.com/ProjectMOSAIC/LittleBooks/raw/master/StudentGuide/MOSAIC-StudentGuide.pdf) is organized by analysis method. It demonstrates how to perform all of the statistical analyses typically covered in an Intro Stats.
### Books by other authors
* [*Mathematical Modeling and Applied Calculus*](https://global.oup.com/academic/product/mathematical-modeling-and-applied-calculus-9780198824732?cc=us&lang=en&)