Applied Statistics for the Behavioral Sciences. This item is unavailable.Applied Statistics for the Behavioral Sciences

Written for students studying in a variety of social science areas, not solely for the psychology student, Applied Statistics is designed to give each student a conceptual understanding of the basic statistical procedures used in behavioural sciences, as well as the computational skills to carry them out. Assuming only a basic knowledge of mathematics and algebra, Hinkle uses a clear presentation, accessible language, and step-by-step examples to help students develop a solid understanding of statistics. Highlights of this fifth edition: * New! Additional SPSS Coverage - SPSS computer printouts and interpreting the results of sample exercises are included throughout the text * New! Coverage of SPSS on the Web - includes the logical processes for various SPSS procedures * Updated and Expanded Coverage - "effect size" has been expanded in Chapter 13- Determining Power and Sample Size * Applied Research Scenarios: Psychology, education, sociology, political science, and marketing scenarios are used in chapter exercises * Student-Centred Pedagogy - each chapter includes an opening list of key concepts, and highlighted key statements throughout

1. Introduction. 2. Organizing and Graphing Data. 3. Describing Distributions: Individual Scores, Central Tendency, and Variation. 4. The Normal Distribution. 5. Correlation: A Measure of Relationship. 6. Linear Regression: Prediction. 7. Sampling, Probability, and Sampling Distributions. 8. Hypothesis Testing: One-Sample Case for the Mean. 9. Estimation: One-Sample Case for the Mean. 10. Hypothesis Testing: One-Sample Case for Other Statistics. 11. Hypothesis Testing: Two-Sample Case for the Mean. 12. Hypothesis Testing: Two-Sample Case for Other Statistics. 13. Determining Power and Sample Size. 14. Hypothesis Testing, K-Sample Case: Analysis of Variance, One-Way Classification. 15. Multiple-Comparison Procedures. 16. Analysis of Variance, Two-Way Classification. 17. Linear Regression: Estimation and Hypothesis Testing. 18. Multiple Linear Regression. 19. Analysis of Covariance. 20. Other Correlation Coefficients. 21. Chi-Square (X2) Tests for Frequencies. 22. Other Nonparametric Tests. Appendix A. Data Sets and Computer Exercises. Appendix B. Computational Formulas. Appendix C. Tables. Appendix D. Answers to Exercises. Appendix E. Glossary. Bibliography. Index.