Harold O. Kiess, Bonnie A. GreenCambridge University PressEdition: 4, 12/19/2019EAN 9781108733014, ISBN10: 1108733018Paperback, 596 pages, 25.4 x 20.3 x 3.1 cmLanguage: EnglishThe 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 variabilityan introduction to statistics2. Statistics in the context of scientific research3. Looking at datafrequency distributions and graphs4. Looking at datameasures of central tendency5. Looking at datameasures of variability6. The normal distribution, probability, and standard scores7. Understanding datausing statistics for inference and estimation8. Is there really a difference? Introduction to statistical hypothesis testing9. The basics of experimentation and testing for a difference between means10. One-factor between-subjects analysis of variance11. Two-factor between-subjects analysis of variance12. One-factor within-subjects analysis of variance13. Correlationunderstanding covariation14. Regression analysispredicting linear relationships15. Nonparametric statistical testsAppendix A. Mathematics reviewAppendix B. Statistical symbolsAppendix C. Statistical tablesAppendix D. Commonly used formulasAppendix E. Answers for computational problemsAppendix F. GlossaryReferencesName indexSubject index.