Data analysis using SAS. (2008)

• Record Type: Book
• Further Information: Note: C.Y. Joanne Peng.
• Other Names: Peng, C. Y. Joanne
• Contents: PART I. INTRODUCTION TO SAS AND BASIC DATA ANALYSIS; 1. Why do you need to learn SAS for data analyses?; 2. Where do you start?; 3. How to prepare data for SAS processing; 4. From data to a SAS data set; 5. Enhancing SAS programs and output; 6. Verifying data; 7. Data transformation; PART II. STATISTICAL PROCEDURES; 8. Quick descriptive analysis; 9. Comprehensive descriptive analysis and normality test; 10.Graphing data; 11. Categorical data analysis; 12. T-test of population means; 13. Analysis of variance; 14. Inferences about two or more population typical scores by ranks; 15. Examining trends in data; 16. Correlation; 17. When do you stop worrying and start loving regression?; PART III. ADVANCED DATA AND FILE MANAGEMENT; 18. Selecting variables or observations from a SAS data set; 19. Repetitive and conditional data processing; 20. Structuring SAS data sets; Appendix A. What lies beyond this book? Information on reference books, hotlines, and Internet resources; Appendix B. Data sets used in this book; Appendix C. Converting SPSS, STATA, Excel, Minitab, Systat data set files to SAS data sets or data set files
• Publisher Details: Thousand Oaks : SAGE Publications, Inc
• Publication Date: 2008
• Extent: 1 online resource (640 pages)
• Subjects: 519.50285; Mathematical statistics -- Data processing
• Languages: English
• ISBNs: 9781483342795; 1483342794
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.