作者: Chao-Ying Joanne Peng
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摘要: PART I. INTRODUCTION TO SAS AND BASIC DATA ANALYSIS 1. Why do you need to learn for data analyses? 2. Where start? 3. How prepare processing 4. From a set 5. Enhancing programs and output 6. Verifying 7. Data transformation II. STATISTICAL PROCEDURES 8. Quick descriptive analysis 9. Comprehensive normality test 10.Graphing 11. Categorical 12. T-test of population means 13. Analysis variance 14. Inferences about two or more typical scores by ranks 15. Examining trends in 16. Correlation 17. When stop worrying start loving regression? III. ADVANCED FILE MANAGEMENT 18. Selecting variables observations from 19. Repetitive conditional 20. Structuring sets Appendix A. What lies beyond this book? Information on reference books, hotlines, Internet resources B. used book C. Converting SPSS, STATA, Excel, Minitab, Systat files