Intro Stats

students and practitioners and also provides a means for instructors to get answers to selected exercise problems. It contains the errata and a pdf Ž le of the book’s contents. One criticism of this book is its wordiness. It is at places difŽ cult to read due to the reader being forced to constantly reference back to equations mentioned in earlier chapters. This interrupts the  ow of the text. Some parts of the book are a bit unclear and hard to follow and perhaps even tangential with respect to the overall contents. An example is the model selection section of logistic regression when the author discusses the differences in the Pearson residual calculations depending on how data are taken to be grouped or not. The point is clear only after repeated reading, and the discussion on Cmax and Cpro in the same chapter are incomplete to say the least. In my opinion, the last two chapters could be improved to make the book more widely useful. However, the positive does outweigh the negative in the book, and this is deŽ nitely a good reference book for any researcher working with categorical data. It would be a good book to have on the shelf for statistical consultants who routinely deal with categorical data. As a text it has potential, and it will deŽ nitely make my short list when I teach a class in categorical data analysis.