Focuses on key concepts and techniques in quantitative data analysis using SAS commands and programming language. This book provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems.
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