This text is in use at University of Massachusetts Amherst ( E&C ENG 214 Introduction to Probability and Statistics, E&C ENG 597MS Math Tools for Data Science. It can be freely accessed and shared using a link to the site itself. The syllabus for each course is included on the site. Contact the author here to obtain copies of instructor materials.
This text is in use at Southern Oregon University and Iowa State University (RESEV 552, “Basic Educational Statistics). It can be freely accessed, shared under similar licensing, downloaded, and modified . It is available in a variety of file types, including associated ancillary materials at the link below this paragraph. An older edition of the resource is available in the Open Textbook Library, where it has also undergone peer review. Click here to read those reviews. A substantial amount of ancillary materials are available at the site linked here. The home page appears unpopulated, but in the middle you will see the very small heading ‘subpages’. Click into those subpages to find quizzes, etc.
These videos are in use at Southern Utah University. They are listed as OER, and are most definitely free to access and share. I am in communication with the creator to determine additional permissions available. The scholarly communications librarian at Southern Utah State shared the following:
A psychology professor at my institution has created what is affectionately referred to as a “Statistics Video Textbook.” It is for a psychology statistics course. It was originally created to foster a flipped classroom environment but given current circumstances could be useful for those transitioning to remote learning. The link to the site is https://bryankoenig.wixsite.com/statsvideotextbook. Dr. Koenig was planning on polishing the site, but decided it would be more useful now and polish later. He did the closed captioning on the videos himself and has a fun list of “requirements” for students to get the most out of the videos.
This resource is in use at Northwestern University. It has been created and curated by Arend Kuyper, Assistant Professor of Instruction and Director of the Minor in Data Science. It has been intentionally published as an open textbook.