The Statistical Sleuth: A Course in Methods of Data Analysis [With CDROM]

I thought I loved statistics before this, but with such clear explanations and good examples I think I will get my masters in stats. The use of high level statistics vocabulary also helps me to get the ladies!

This book is a unique source for reals problems in statistical analysis, based on real data sets. It has become a modern classic, and with good reason.

I have read more than 100 statistical texts on various subjects. This book is one of the best I've ever seen. It is extremely clear, well-organized, consistent in methodology and well-typeset. The use of well-documented case studies to illustrate every concept makes eclectic reading easy. The book also attempts to answer common trade-offs and philosophical points clearly. If I were teaching statistics, I'd use this text somewhere at the junior year level. I'd highly recommend it as a quick reference to anyone working with and familiar with statistics. It's very useful for a quick conceptual and practical overview.

This is a great introductory statistics book, for students who are taking beginning level stats courses. The examples are cleary laid out and it's not too heavy on the theory.

This is a superb text for graduate students or advanced undergraduates. The case studies are excellent, and the approach is innovative. The strength of the book is its coverage of regression models (linear algebra not used - a weakness if you want to program in Matlab, but ok for SPSS). The examples are drawn from Ecology (esp. Island biogeography), Evolutionary biology, geochemistry, environmental policy, medicine and law. There is something of interest for even the most diverse audience.