StatPREP has developed and published a pretty large collection of interactive teaching materials for putting data at the center of intro statistics.

This small website helps instructors link their textbook to the StatPREP materials. Currently, we have companion materials for several textbooks. Follow the links below to get to the curriculum companion for each book.

We are open to developing additional companion materials for other textbooks. Three we are considering are:

Which books and why?

There are many textbooks used for teaching intro stats. We couldn’t do all of them at the start, so we picked three.

It wouldn’t be appropriate for us to endorse specific commercial textbooks, so we made our initial choice of books based on one fundamental criterion: accessibility to students.

Two of the books we picked are open-source and available for free online.

Another open-source stats textbook we want to point out is Statistical Inference via Data Science by Chester Ismay and Albert Y. Kim. We didn’t include this in our list because it is relatively new and because it takes a substantially different view on stats, orienting stats around data science concepts such as wrangling and visualization. Also, it’s tied centrally to using R commands, and this is something that many of our StatPREP faculty participants have not shown an inclination to do.

The third book is commercial, but it is so widely used in two-year colleges that is is readily accessible to instructors.