A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics | 
 enlarge | Authors: Norm O'rourke, Larry Hatcher, Edward J. Stepanski
Publisher: WA (Wiley-SAS)
Category: Book
List Price: $84.95
Buy New: $65.19
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Rating:  2 reviews
Sales Rank: 893192
Media: Paperback
Edition: 2
Pages: 550
Number Of Items: 1
Shipping Weight (lbs): 2.7
Dimensions (in): 11.1 x 8.5 x 1.1
ISBN: 0471469440
Dewey Decimal Number: 519.535
EAN: 9780471469445
Publication Date: August 12, 2005
Availability: Usually ships in 1-2 business days
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Product Description
One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary statistical procedures for researchers and students in the Social Sciences. This Second Edition, updated to cover version 9 of the SAS software, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and MANOVA (multivariate analysis of variance).
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| Customer Reviews:
 Excellent for beginners of statistics and SAS January 3, 2008
M&M Catboy (Chicago, Illinois, USA)
5 out of 5 found this review helpful
This book allowed me to learn statistics and using SAS to do statistics without being overwhelmed. I particularly like the thorough, easy-to-follow explanations that accompany SAS outputs, i.e. the authors explain each section of the lengthy output well. What use is it if you get a bunch of output but don't know how to interpret? The authors try to help you with that, and I would say they are successful.
Sometimes I felt that certain sections are too step-by-step (like detailing the romance study at great depth), but I guess readers can gain some exposure to study designs by going through those paragraphs.
 learning common tests in SAS September 4, 2005
W Boudville (Terra, Sol 3)
13 out of 15 found this review helpful
O'Rouke tackles a disconnect that arises naturally between statistics texts and SAS. The former talk in general terms about many important statistical tests, for univariate and multivariate distributions. From books like these, programmers at SAS built up massive libraries that implemented those tests.
Yet to someone outside SAS, who might be a student or professional statistician, knowing in general is often little help in being able to do specific tests in SAS. So O'Rouke wrote what you might think of as a standard text. Except that it is firmly grounded in showing how all this can be done in SAS. It is also suitable as a first text in those tests. In fact, maybe even better than standard texts. Because this book gives you the tools to familiarise yourself with easily running those tests against data sets. Typically, the other books leave you with two things to do. Write those tests (or get software from someone), and apply these against data.
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