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Product Description
Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis.
As the SAS© programming language continues to evolve, this new edition follows suit with up-to-date coverage of this combination statistical package, database management system, and high-level programming language. Using examples from business, medicine, education, psychology, and other disciplines,Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.
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Customer Reviews
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
Format:Paperback
Good as a first book on stats procedures. Covers the main ones well with lots of code and explanations.
Probably need to go to more specific books for areas such as cluster or factor analysis using sas.
Well worth the money
Easy reading style ensures that its not too much of a heavy read with a little bit of humour!
Probably need to go to more specific books for areas such as cluster or factor analysis using sas.
Well worth the money
Easy reading style ensures that its not too much of a heavy read with a little bit of humour!
1 of 1 people found the following review helpful
Format:Paperback
A very good intro-level SAS book for SAS freshmen. It helps you to do SAS quickies without learning the language in detail. But wherever it touches the language itself, it provides excellent teaching in easy-to-understand English. It's the best book for non-programmers to start using SAS for their everyday statistic and database tasks. The final part of the book contains some (but very limited) tricks for professional SAS programmers. More advanced contents will earn one more star - wait for the next version.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
41 reviews
73 of 78 people found the following review helpful
This Book ROCKS! (for a stats/programming book, that is...)
23 May 2000
Format: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.
29 of 29 people found the following review helpful
guide to applied stats through the use of SAS
13 Feb 2008
Format: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.
27 of 27 people found the following review helpful
Excellent Introduction
7 Dec 2004
Format: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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