| PART I. INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. PART II. FOUNDATIONS OF INFERENTIAL STATISTICS. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. PART III. INFERENCES ABOUT MEANS AND MEAN DIFFERENCES. 8. Introduction to Hypothesis Testing. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. 12. Estimation. 13. Introduction to Analysis of Variance. 14. Repeated-Measures Analysis of Variance (ANOVA). 15. Two-Factor Analysis of Variance (Independent Measures). PART IV. CORRELATIONS AND NONPARAMETRIC TESTS. 16. Correlation. 17. Introduction to Regression. 18. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. 19. The Binomial Test. 20. Statistical Techniques for Ordinal Data: Mann-Whitney, Wilcoxon, Kruskal Wallis, and Friedman Tests. Appendix A. Basic Mathematics Review. Appendix B. Statistical Tables. Appendix C. Solutions for Odd-Numbered Problems. Appendix D. General Instructions for Using SPSS. Statistics Organizer. References. Index. |
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