Applied statistics and the SAS programming language

Cody, Ronald P. [Editor]; Smith, Jeffrey K. [Editor];

ISBN 10: 0444008896 / ISBN 13: 9780444008893

Published by North-Holland, 1984

About this Item

1984; New York; red illustrated glossy paper covers with black titles; covers contain rubbing and wear; Interior is clean and unmarked; 8vo, 7 3/4"-9 3/4" tall; 187 pages.

Seller Inventory # SKU1156518

Bibliographic Details

• Title: Applied statistics and the SAS programming language
• Publisher: North-Holland
• Publication Date: 1984
• Language: English
• ISBN 10: 0444008896
• ISBN 13: 9780444008893
• Binding: Paperback
• Condition: Very Good

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.

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.