The fourth edition of Statistical Concepts for the Behavioral Sciences emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research. These studies are fully referenced so students can easily access the original research. The uses of statistics are then developed and presented in a conceptually logical progression for increased comprehension by using the accompanying workbook and the problem sets. Several forms of practice problems are available to students and presented in a manner that assists students in mastering component pieces before integrating them together to tackle more complicated, real-world problems.
1. Making sense of variability: an introduction to statistics
2. Statistics in the context of scientific research
3. Looking at data: frequency distributions and graphs
4. Looking at data: measures of central tendency
5. Looking at data: measures of variability
6. The normal distribution, probability, and standard scores
7. Understanding data: using statistics for inference and estimation
8. Is there really a difference? Introduction to statistical hypothesis testing
9. The basics of experimentation and testing for a difference between means
10. One-factor between-subjects analysis of variance
11. Two-factor between-subjects analysis of variance
12. One-factor within-subjects analysis of variance
13. Correlation: understanding covariation
14. Regression analysis: predicting linear relationships
15. Nonparametric statistical tests
Appendix A. Mathematics review
Appendix B. Statistical symbols
Appendix C. Statistical tables
Appendix D. Commonly used formulas
Appendix E. Answers for computational problems
Appendix F. Glossary
References
Name index
Subject index.
