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Learn statistical reasoning and problem solving from a best-selling author who uses a wealth of examples from the social and behavioral sciences,, education,, nursing/allied health, and business fields--as well as examples from everyday life-to help you learn and understand. Praised for his clear explanations, Spatz shows you how to start with a data set, identify the questions it poses, determine and carry out statistical procedures, and using plain English, tell the story the data reveal.
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Chris Spatz earned a Ph.D. from Tulane University in experimental psychology. He subsequently held NSF and NIMH postdoctoral fellowships in animal behavior at the University of Michigan and the University of California, Berkeley. He is a professor of psychology at Hendrix College, Conway, Arkansas. Spatz also held positions at The University of the South and the University of Arkansas at Monticello.Review:
Table of Contents 1. Introduction. 2. Exploring Data: Frequency Distributions and Graphs. 3. Exploring Data: Central Tendency. 4. Exploring Data: Variability. 5. Other Descriptive Statistics. 6. Correlation and Regression. 7. Theoretical Distributions Including the Normal Distribution. 8. Samples, Sampling Distributions, and Confidence Intervals. 9. Hypothesis Testing and Effect Size: One-Sample Designs. 10. Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs. 11. Analysis of Variance: One-Way Classification. 12. Analysis of Variance: One-Factor Repeated Measures. 13. Analysis of Variance: Factorial Design. 14. Chi Square Tests. 15. More nonparametric Tests 16. Choosing Tests and Writing Interpretations. Appendix A: Arithmetic and Algebra Review. Appendix B: Grouped Frequency Distributions and Central Tendency. Appendix C: Tables. Appendix D: Glossary of Words. Appendix E: Glossary of Symbols. Appendix F: Glossary of Formulas. Appendix G: Answers to Problems. References Index Inside Back Cover: Decision Tree for Statistics.
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