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Applied Statistics and the SAS Programming Language (5th Edition)

Applied Statistics and the SAS Programming Language (5th Edition)
Details | Description | Customer Reviews
By: Ron P. Cody (Author), Jeffrey K. Smith (Author)  (Paperback - 2005)
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» Paperback: (592 pages)
» Publisher:  Pearson (April 09, 2005)
» ISBN: 0131465325
» Product Dimensions: 9.3 x 7 x 1 inches
» Amazon.com Sales Rank: #25,814 in Books
» Average Customer Review: 
     
 
 
Book Description

As the SAS? programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, Applied Statistics and the SAS Programming Language is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS GraphT output. Provides readers with ample models for developing programming skills. For anyone interested in learning? more about applied statistics and the SAS programming language.



Customer Reviews
Average Customer Review
3.9 out of 5 stars (47 customer reviews)
47 Reviews
5 star:
 (23)
4 star:
 (10)
3 star:
 (5)
2 star:
 (4)
1 star:
 (5)
 
 
 

77 of 82 people found the following review helpful
5.0 out of 5 stars This Book ROCKS! (for a stats/programming book, that is...), May 23, 2000
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M. Allen Greenbaum (California) - See all my reviews
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This review is from: Applied Statistics and the SAS Programming Language (Paperback)
I've been doing data analysis for almost 20 years and recommend this highly. It is not too advanced for the beginning college student or professional, but more weighty than the small Introduction to SAS books (which seem more suitable for those with no experience). Because it interweaves SAS programming with often used statistics (and offers excellent examples and interpretations of output throughout), it is ideal for a stats and/or SAS course.
I find it useful for reviewing SAS steps, and as a quick stats overview. The big SAS books are fine as a reference or for researching more complex and/or narrower questions, but this is far more user-friendly. Highly recommended for the beginning to moderate statistician or programmer.
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30 of 30 people found the following review helpful
4.0 out of 5 stars Excellent Introduction, December 6, 2004
This review is from: Applied Statistics and the SAS Programming Language (Paperback)
I just completed a SAS course that used this book. I never used SAS before and found the book to be very useful and informative. The authors show you how to use the built in SAS procedures and provide basic guidance on how to interpret the results. It has a numerous examples which really helped me learn the basics about running t-tests, ANOVA, and regression. Notes: (a) The book does not cover every option available with the SAS procedures - this is actually good in an introductory book because it keeps the reader from getting confused. Don't buy the book expecting a technical programming manual. (b) The book does not cover macro programming (c) the book does not cover the more professional looking graphics procedures e.g. gplot
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30 of 31 people found the following review helpful
5.0 out of 5 stars guide to applied stats through the use of SAS, February 12, 2008
This review is from: Applied Statistics and the SAS Programming Language (Paperback)
SAS is a data management and statistical analysis tool that is extremely popular in industry especially in medical device and pharmaceutical companies. SAS manuals are very good at providing users who have some statistical knowledge with guidance toward the use of various porcedures. Statistical texts often provide users of statistical methods with the necessary basic knowledge. However there are few texts that do both. A trend is developing to introduce basic and advanced statistical methods illustrated through the use of statistical software (particularly SAS). This book does a great job of presenting many applied problems and demonstrating the implementation of the analysis in SAS.
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