Applied Statistics for the Behavioral Sciences / Edition 2by Dennis E. Hinkle, William Wiersma, Stephen G. Jurs
Pub. Date: 03/01/1988
Publisher: CENGAGE Learning
This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in
This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics. Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.
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Table of Contents
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
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This books provides an excellent introduction to quantitative research techniques. These authors are obviously teachers not just academics. I highly recommend this book for any person studying quantitative research methods for the first time.