Skip to Main Content

OER at UConn — Statistics

Open Educational Resources for Teaching and Learning

Open Educational Resources in Statistics

This page provides access to open educational resources (OER) in Statistics from a variety of repositories and publishers. The purpose is to showcase content that might be of interest to faculty who are considering adopting OER for use in their classes. This list of content is by no means exhaustive and more resources are available.  

For further help or information, please email the UConn Library contact for OER and textbook affordability, visit and/or contact Zach Claybaugh.

Open Textbooks

Where to Find More

The following are dedicated search engines, repositories, and publishers hosted by organizations dedicated to open and institutions of higher education that can connect users with OER.

Additional Free and Low-Cost Options

The following free and affordable resource collections lack the wider flexibility of OER, but they offer tremendous value for instructors looking to reduce the textbook cost burden on students.

Additional Resources

Grasple - provides high quality curated open exercises and lessons on math & stats created by the community.

MyOpenMath - is an online course management and assessment system for mathematics and other quantitative fields. MyOpenMath’s focus is providing rich algorithmically generated assessment to support the use of free, open textbooks like the ones listed on

MyOpenMath is a collaborative community of users. provides managed hosting of the open source IMathAS online assessment software. Questions and pre-built courses are all created by faculty in the user community and shared with others in the spirit of openness. Experienced users provide peer-to-peer support through discussion forums.

SageMath - is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. Access their combined power through a common, Python-based language or directly via interfaces or wrappers.