An introductory applied statistics text that can be used at either undergraduate or graduate level.
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An introductory applied statistics text that can be used for a one, or two, semester course at either undergraduate or graduate level. Central features are the use of real data, the presentation of statistical methods with a conceptual emphasis, and the integration of SPSS reflecting statistical practice.
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 distrubution of means; Appendix C. Statistical tables; Appendix D. References; Appendix E. Solutions to exercises.
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