Textbook companions help 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. Some we are considering are:
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.
We are impressed by the number of StatPREP faculty participants already using this.
The author, Kathryn Kozak, is a StatPREP co-PI. She is preparing a new edition of the book, and so many of the companion materials available here may appear, in time, in the book itself.
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.
Triola’s Elementary Statistics.
We hope that having a key to the StatPREP materials for the Triola book will help many StatPREP participants take first steps toward a data-centric view of statistics. This is so particular since the structure and content of the book makes it difficult for the first-time instructor to coordinate lessons from the book with the StatPREP materials.