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 Variation. Standard Scores (z-scores).
4. PROBABILITY AND HYPOTHESIS TESTING. Probability. Hypothesis Testing and Inferential Statistics.
5. THE Z AND T TESTS. The Single-Sample 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.
Tests for Ordinal Data.
Appendix A. Statistical Tables.
Appendix B. Answers to Module and Chapter Summary Exercises. Appendix C. Getting Started with Excel, SPSS, and the TI-84 Calculator. Appendix D. Computational Supplement.
Glossary.
References.
Index.