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

Ron P. Cody/ Jeffrey K. Smith

ISBN 10: 0131465325 / ISBN 13: 9780131465329

Published by Prentice Hall, 2005

About this Item

5th edition. 574 pages. 9.25x7.00x1.00 inches. In Stock.

Seller Inventory # 0131465325

Bibliographic Details

• Title: Applied Statistics and the SAS Programming Language (5th Edition)
• Publisher: Prentice Hall
• Publication Date: 2005
• Language: English
• ISBN 10: 0131465325
• ISBN 13: 9780131465329
• Binding: Paperback
• Edition: 5th or later Edition
• Condition: Brand New
• Weight: 0.83 kilograms

About this title

Synopsis

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.

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.