Part I: INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. Part I Review. Part II: FOUNDATIONS OF INFERENTIAL STATISTICS. 5. Z-Scores: Location of Scores and Standard Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. Part II Review. Part III: USING t STATISTICS FOR INFERENCES ABOUT POPULATION MEANS AND MEAN DIFFERENCES. 9. Introduction to the t Statistic. 10. The t test for Two Independent Samples. 11. The t test for Two Related Samples. 12. Estimation. Part III Review. Part IV: ANALYSIS OF VARIANCE: TESTS FOR DIFFERENCES AMONG TWO OR MORE POPULATION MEANS. 13. Introduction to Analysis of Variance. 14. Repeated-Measures and Two-Factor Analysis of Variance. Part IV Review. Part V: CORRELATIONS AND NON-PARAMETRIC TESTS. 15. Correlation and Regression. 16. The Chi-Square Statistic: Tests for Goodness of Fit and Independence. Part V Review. Appendix A: Basic Mathematics Review. Appendix B: Statistical Tables. Appendix C: Solutions for Odd-Numbered Problems in the Text. Appendix D: General Instructions for Using SPSS.
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