Abstract: 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.
Publication Year: 2004
Publication Date: 2004-06-16
Language: en
Type: book
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Cited By Count: 30
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