Statistics for the Behavioral Sciences.

Abstract

Preface 1. A brief overview 2. Distribution and their graphs 3. Measures of central tendency 4. Measures of variability and standard scores 5. Correlation 6. Simple linear regression 7. Probability 8. Theoretical probability models: the binomial and normal 9. Inferential statistics: the logic and language of hypothesis testing 10. The role of sampling in inferential statistics 11. Inferences involving the mean when sigma is known 12. Inferences involving the mean of one population when sigma is not known 13. Inferences involving the means of two populations 14. Inferences involving variances with one or two populations 15. The treatment of correlation and linear regression in inferential statistics 16. One-way analysis of variance 17. Two-way analysis of variance 18. Nonparametric methods when the dependent variable is at the nominal level 19. Nonparametric methods when the dependent variable is at the ordinal level Appendix Solutions to end-of-chapter exercises Solutions to review exercises Tables Index.