Statistics

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.

Three small seated figurines posed as if in conversation. Two sit on a sugar cube on the left, one on a sugar cube on the right.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.

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 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.

Join us for our next live collaboration Thurdsay Dec. 1, 4:00pm ET/ 1:00am PT by clicking here.