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Applied Statistics and the SAS Programming Language (5th Edition)By Ron P. Cody, Jeffrey K. Smith
Get Free Ebook Applied Statistics and the SAS Programming Language (5th Edition)By Ron P. Cody, Jeffrey K. Smith
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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 Graph™ output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.
- Amazon Sales Rank: #26871 in Books
- Published on: 2005-04-09
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.30" w x 7.00" l, 1.81 pounds
- Binding: Paperback
- 592 pages
From the Publisher Applied Statistics and the SAS Programming Language is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation.
From the Back Cover As the SAS(c) 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 Graph(TM) output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.
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