SAS Applications Programming: A Gentle Introduction (Duxbury Series in Statistics & Decision Sciences)

DiIorio, Frank C.

ISBN 10: 0534923909 / ISBN 13: 9780534923907

Published by Cengage Learning, 1991

About this Item

Seller Inventory # Abebooks159841

Bibliographic Details

• Title: SAS Applications Programming: A Gentle Introduction (Duxbury Series in Statistics & Decision Sciences)
• Publisher: Cengage Learning
• Publication Date: 1991
• Language: English
• ISBN 10: 0534923909
• ISBN 13: 9780534923907
• Binding: Paperback
• Condition: New

About this title

Synopsis

Intended for use as a core text or to supplement any introductory or intermediate level statistics course, this book presents the basics of the SAS system in a well-paced, structured, non-threatening manner. It provides an introduction to the SAS system for data management, analysis, and reporting using the subset of the language ideally suited for beginning students, while at the same time serving as a useful reference for intermediate or advanced users. Students learn the language's power and flexibility with many real-world examples drawn from the author's industry experience. Beginning with an overview of the system, this text shows students how to read data, perform simple analyses, and produce simple reports. More complex topics are carefully introduced, guiding students to manage multiple datasets and write custom reports. More advanced statistical techniques such as correlation, regression, and analysis of variance are presented in later chapters.

Review

1. Introduction 2. The SAS Environment: Terminology and Basics 3. Syntax Basics 4. Data Step I: Reading Your Data 5. Using the Dataset: Introduction to Procs 6. Descriptive Statistics 7. Data Step II: Calculations 8. Data Step III: Controlling the Flow of Execution 9. Data Step IV: Dressing Up and Trimming Down 10. SAS Datasets 11. The Data Step Revisited 12. Controlling the Environment: System Options 13. Combining SAS Datasets 14. User-Written Formats I: Display 15. User-Written Formats II: Recoding 16. Date Values 17. Creating Datasets with Procs 18. More About Character Data 19. Advanced Data Step Features 20. Custom Reports 21. Two-Variable Graphics 22. Bivariate Statistics 23. Linear Regression 24 Analysis of Variance 25. The Other 80% Appendixes. Selected Short Answers. Index.