Publication NameFundamental Statistics for the Behavioral Sciences
LanguageEnglish
SubjectProbability & Statistics / General, General, Statistics, Psychotherapy / Counseling
Publication Year2016
FeaturesRevised
TypeTextbook
Subject AreaMathematics, Social Science, Psychology
AuthorDavid C. Howell
SeriesMindtap Course List Ser.
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight48.9 Oz
Item Length10.2 in
Item Width8.2 in
Additional Product Features
Edition Number9
Intended AudienceCollege Audience
LCCN2015-960736
Dewey Edition23
IllustratedYes
Dewey Decimal519.5
Edition DescriptionRevised edition
Table Of Content1. Introduction. 2. Basic Concepts. 3. Displaying Data. 4. Measures of Central Tendency. 5. Measures of Variability. 6. The Normal Distribution. 7. Basic Concepts of Probability. 8. Sampling Distributions and Hypothesis Testing. 9. Correlation. 10. Regression. 11. Multiple Regression. 12. Hypothesis Tests Applied to Means: One Sample. 13. Hypothesis Tests Applied to Means: Two Related Samples. 14. Hypothesis Tests Applied to Means: Two Independent Samples. 15. Power. 16. One-Way Analysis of Variance. 17. Factorial Analysis of Variance. 18. Repeated-Measures Analysis of Variance. 19. Chi-Square. 20. Nonparametric and Resampling Statistical Tests. 21. Meta-Analysis. Appendix A: Arithmetic Review. Appendix B: Symbols and Notation. Appendix C: Basic Statistical Formulae. Appendix D: Data Set. Appendix E: Statistical Tables. Glossary. References. Answers to Exercises. Index.
SynopsisFUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides you with an understanding of the logic behind the statistics, so you understand why and how certain methods are used -- rather than simply carry out techniques by rote. You'll move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. An abundance of real data and research studies provide a real-life perspective and help you understand concepts as you learn about the analysis of data.