Introduction
We’re so glad that you’re working to expand the wide world of OER statistics materials. As you know,statistics is a very rewarding subject to teach, as it can be approached so many ways. This variety means that though many OER materials already exist for statistics, there’s no one-size-fits-all solution in place. Even if you find a template course you admire, you’re likely to need to do at least some customization to fit your school, your program, and your students.
Let’s Talk!
We invite you to share in the collaboration and wisdom-sharing of the OER community. Slack is a free, easy-to-use tool for communication and collaboration. It offers channels for group conversations on specific topics, including the “Math” channel. You can also send direct messages to individuals or groups. Use it from any computer or mobile device.
Resources
Lumen Courses
Lumen offers several template courses that can serve as starting points for your own development. You can mix, match, and adapt anything from the courses below quite easily.
When you click the link for full MOM courses or online homework sets, please use guest as the username, no password is required.
Text |
Resources |
Description |
Lumen Learning – OpenStax, easily editable | Online homework sets. | Topics covered include, classification of data, graphing data, common distributions used in statistical analysis, independence testing and ANOVA. |
OpenStax, not easily editable | Full MOM course, simulations, video support, online homework, discussion boards | This course presents elementary statistical methods and concepts including descriptive statistics, estimation, hypothesis testing, linear regression and categorical data analysis. |
ATD Information
This section provides support for faculty and course developers involved with the Achieving the Dream OER Degree Initiative.
- Running Notes Document for Live Collaboration Sessions (open to all)
- See all upcoming collaboration sessions in all disciplines here
Join us for our next live collaboration Thurdsay Dec. 1, 4:00pm ET/ 1:00am PT by clicking here.