Statistics

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.