1. GETTING STARTED. Science and Statistics. Variables and Measurement. 2. DESCRIPTIVE STATISTICS I. Organizing Data. Measures of Central Tendency. 3. DESCRIPTIVE STATISTICS II. Measures of Variability. Standard Scores (z-scores). 4. PROBABILITY AND HYPOTHESIS TESTING. Probability. Hypothesis Testing. 5. THE Z AND T TESTS. The z Test. The Single-Sample t Test. 6. TWO-GROUP T TESTS. The t Test for Independent Groups (Samples). The t Test for Correlated Groups (Samples). 7. INTRODUCTION TO ANALYSIS OF VARIANCE (ANOVA). Comparing More than Two Groups. One-Way Randomized Analysis of Variance (ANOVA). 8. REPEATED MEASURES AND TWO-FACTOR ANOVAS. One-Way Repeated Measures ANOVA. Using Designs with More than One Independent Variable. Two-Way Randomized ANOVA. 9. CORRELATIONAL PROCEDURES. Correlational Research. Correlation Coefficients. Advanced Correlational Techniques: Regression Analysis. 10. NONPARAMETRIC PROCEDURES. Chi-Square Tests. Wilcoxon Tests. Appendix A. Statistical Tables. Appendix B. Answers to Odd Numbered Exercises. Appendix C. SPSS, Excel, and TI84 Exercises. Appendix D. Computational Supplement. Glossary. References. Index.