| Applied Statistics and the SAS Programming Language Revised Edition Contributor(s): Cody, Ron P. (Author), Smith, Jeffrey K. (Author) |
|
 |
ISBN: 0131465325 ISBN-13: 9780131465329 Publisher: Pearson OUR PRICE: $151.99 Product Type: Paperback Published: March 2005 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Dewey: 519.502 |
| LCCN: 2004060178 |
| Physical Information: 0.84" H x 6.96" W x 9.18" (1.81 lbs) 600 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. KEY TOPICS: 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. MARKET: For anyone interested in learning more about applied statistics and the SAS programming language. |