This vignette describes related resources and materials useful for teaching statistics with a focus on modeling and computation.

The `mosaic`

package includes a number of vignettes. These are available from within R or from cran.r-project.org/web/packages/mosaic/.

*Minimal R*describes a minimal set of R commands for use in Introductory Statistics and discusses why it is important to keep the set of commands small;*Less Volume, More Creativity*, based on slides from an ICOTS 2014 workshop, introduces the`mosaic`

package and related tools and describes some of the philosophy behind the design choices made in the`mosaic`

package.*Graphics with with the mosaic package*is gallery of plots made using tools from the`mosaic`

package.*Resampling methods in R*demonstrates how to use the`mosaic`

package to compute p-values for randomization tests and bootstrap confidence intervals in a number of common situations. The examples are based on the ``resamping bake off’’ at USCOTS 2013.

The following longer documents are available at github.com/ProjectMOSAIC/LittleBooks.

*Start Teaching Statistics Using R*includes some strategies for teaching beginners, and introduction to the`mosaic`

package, and some additional things that instructors should know about using R.*A Student’s Guide to R*provides a brief introduction to the R commands needed for all the basic statistical procedures in an Intro Stats course.*Start R in Calculus*highlights features of R and the`mosaic`

package that can be used to teach calculus with R.*Start Modeling in R*(coming soon).

GW Cobb, “The introductory statistics course: a Ptolemaic curriculum?”,

*Technology Innovations in Statistics Education*, 2007, 1(1), www.escholarship.org/uc/item/6hb3k0nz.NJ Horton, BS Baumer, and H Wickham, “Teaching precursors to data science in introductory and second courses in statistics,”

*CHANCE*, 2015, 28(2):40-50, www.amherst.edu/~nhorton/precursorsD Nolan and D Temple Lang, “Computing in the statistics curricula”,

*The American Statistician*, 2010, 64(2), www.stat.berkeley.edu/~statcur/Preprints/ComputingCurric3.pdf.