Statistics Using SPSS

Sharon L. Weinberg is Professor of Quantitative Methods and Psychology and former Vice Provost for Faculty Affairs at New York University. She is widely published, with over 50 publications in her field, including books, book chapters, journal articles, and major reports. She is the recipient of numerous grants and author with Kenneth P. Goldberg of Statistics for the Behavioral Sciences (Cambridge, 1990). Sarah Knapp Abramowitz is Assistant Professor of Mathematics and Computer Science at Drew University. She received her Ph.D. from New York University and is an Associate Editor of the Journal of Statistics Education.

1. Introduction; 2. Examining univariate distributions; 3. Measures of location, spread, and skewness; 4. Re-expressing variables; 5. Exploring relationships between two variables; 6. Simple linear regression; 7. Probability fundamentals; 8. Theoretical probability models; 9. The role of sampling in inferential statistics; 10. Inferences involving the mean of a single population when o is known; 11. Inferences involving the mean when o is not known: one and two sample designs; 12. One-way analysis of variance; 13. Two-way analysis of variance; 14. Correlation and simple regression as inferential techniques; 15. An introduction to multiple regression; 16. Nonparametric methods; Appendix A. Data set descriptions; Appendix B. SPSS macro to generate a sampling distribution of means; Appendix C. Statistical tables; Appendix D. References; Appendix E. Solutions to exercises.