Here are some notes on textbooks from George Cobb, one of the directors of the STATS (Statistical Thinking and Teaching Statistics) Project which retrained college mathematics teachers to teach statistics.
> I'm not familiar with all the books on your list, but here are a few > thoughts that I hope will be of some use. > It may speed your reviewing process to decide how much time, if any, > you want your students to spend learning and using statistical methods, > as opposed to statistical ideas that can be learned without spending time > on the methods. The book by Jessica Utts (a lovely book, I think, > although I haven't taught from it) and the more established and also lovely > book "Statistics: Concepts and Controversies" by David Moore would both > be suitable for a course of the sort that a colleague at Swarthmore > teaches called "Statistical Thinking." He also teaches a course called > "Statistical Methods," for which he has used Moore and McCabe, and for > which many of the other books on your list might work. I personally > prefer Moore's Basic "Practice of Statistics" to the book David Moore > wrote with McCabe, because I find it easier to read and follow. > I would urge you to choose a book written by someone highly regarded as > a statistician: Andy Siegel, David Moore, Jessica Utts, Bob Wardrop, ... > Bob Hayden can tell you more about Siegel's book than I, but here are > some thoughts about Moore's and Wardrop's books. David Moore's is the > best of the intro books that sell well, and the best-selling of the > really good books available. It is an excellent, thoughtful well > crafted book. Bob Wardrop's book is also excellent, but is much less > well known, in part because it follows an unconventional organization: > He starts with Yes/No data, and only does continuous data comparatively > late in the book. The big advantage he gets in return is that his > students know enough after the first week or two to design their own > completely randomized experiments, and know enough a week or two after > that to test a null hypothesis using the results of their own data > collection. > Finally, a couple of other truly distinctive books you might consider. > > Activity Based Statistics, by Dick Scheaffer, Jeff Witmer (both > presenters at some of the other STATS workshops), Ann Watkins > (site manager of one of the workshops, and a member of the STATS steering > committee), and Mrdulla Gnandesikan, published by Springer, is a > collection of class-tested activities for teaching the intro course. > Many STATS-related folks, including Don Bentley, were members of the > advisory group for this project. > > Workshop Statistics: Discovery with Data, by Allan Rossman, was designed > for teaching the introductory course using the "workshop approach," where > the teacher does very little lecturing, and instead helps students > develop the material on in small groups. Rossman was a presenter at a > STATS workshop last year, and is director of a new series of workshops in > statistics that are taking over where STATS left off. (This one is also > published by Springer.) > > George > > > George W. Cobb > Mount Holyoke College > South Hadley, MA 01075 > 413-538-2401 > >
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