An NSF-funded project supporting Mathematics, Statistics, and Computation

**Project MOSAIC** is a community of educators working
to develop a new way to introduce mathematics, statistics, computation
and modeling to students in colleges and universities.

From 2009 to 2016, Project MOSAIC was supported by a grant from the US National Science Foundation (NSF DUE-0920350). The core resources developed during that time continue to be maintained and expanded. New MOSAIC resources such as a calculus textbook and the Little Apps are being added and improved in the 2020s.

NOV. 2023 UPDATE: An advanced draft is now available of the new *Lessons
in Statistical Thinking* introductory text and the associated
`{LST}`

R package. This is a complete rethinking of
introductory statistics that places it in the context of data science,
modeling, and causal inference.

The

`{mosaic}`

package for R which supports teaching stats using a expressive, compact, and consistent formula syntax. This minimizes start up costs for students and enables students to calculate descriptive statistics, create statistical graphics, and construct statistical graphics.`{mosaic}`

is one of three main syntaxes for teaching and doing statistics using R. (For a comparison, see Prof. Amelia McNamara’s video presentation.)Hundreds of instructors have found

`{mosaic}`

helpful in teaching introductory statistics. Example:`response wday center conf_lower conf_upper 1 births Sun 7397.808 7319.233 7476.383 2 births Mon 11739.385 11490.746 11988.023 3 births Tue 12585.808 12461.750 12709.866 4 births Wed 12279.096 12140.249 12417.944 5 births Thu 12083.434 11775.866 12391.001 6 births Fri 11834.558 11550.568 12118.547 7 births Sat 8357.096 8250.949 8463.243`

The

`{ggformula}`

package, which enables ggplot2 graphics to be generated using the formula syntax. Example:`gf_jitter(births ~ wday, data = Births2015, alpha = 0.5) %>% gf_errorbar(conf_lower + conf_upper ~ wday, data = Stats, color = ~ wday, inherit=FALSE)`

The

**LittleApps**developed with the MAA StatPREP project. These are data- and graphics-centric tools for teaching introductory statistics without coding. See the LittleApps site for more information.A complete

**MOSAIC Calculus**course including an online, freely accessible textbook, exercises, and symbolic software in R, all following the Project MOSAIC philosophy of building courses around*modeling*, using*data*, and integrating*computing*directly into the subject matter.Online, freely accessible texts for teaching statistics that are coordinated with the

`{mosaic}`

R package.*Statistical Modeling: A Fresh Approach*by Daniel Kaplan- End-of-chapter exercises for
*Statistical Modeling*. Answers are available to instructors upon request. *Statistical Modeling: Computational Technique*by Daniel Kaplan and Frank Shaw. This booklet introduces the R language commands for the methods introduced in*A Fresh Approach*.*A Student’s Guide to R*