1. Introduction -- 2. Descriptive statistics -- 3. Standard scores -- 4. Introduction to hypothesis testing -- 5. Sampling -- 6. Hypothesis testing with a sample -- 7. Selecting samples for comparison -- 8. Hypothesis testing with two samples -- 9. Significance, error and power -- 10. Introduction to the analysis of variance -- 11. One factor independent measures ANOVA -- 12. Multiple comparisons -- 13. One factor repeated measures ANOVA -- 14. The interaction of factors in the analysis of variance -- 15. Calculating the two factor ANOVA -- 16. An introduction to nonparametric analysis -- 17. Two sample nonparametric analysis -- 18. One factor ANOVA for ranked data -- 19. Analysing frequency data: chi-square -- 20. Linear correlation and regression -- 21. Multiple correlation and regression -- 22. Using statistics programs on computers -- Appendix: Statistical tables
Summary
This text outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and aims to make statistics much less mysterious
Analysis
Statistics
Bibliography
Includes bibliographical references (pages 295-296) and index