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

by Fred L. Ramsey and Daniel W. Schafer

Book Overview

Intended for the one- or two-term algebra-based course in statistical methods, this innovative book takes full advantage of the computer both as a computational and as an analytical tool. The focus is... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0534386709
• ISBN13: 9780534386702
• Release Date: January 2002
• Publisher: Duxbury Resource Center
• Length: 816 Pages
• Weight: 3.03 lbs.
• Dimensions: 1.3" x 7.4" x 9.5"

Customer Reviews

Statistical Sleuth 2nd Edition

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!

Excellent Test in Intermediate/Advanced Applied Statistics

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.

Excellent survey and introduction to statistics

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.

Great Intro Level Statistics Book

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.

An excellent graduate-level text

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.