Statistics for the Behavioral Sciencesby Sharon L. Weinberg, Kenneth P. Goldberg
Pub. Date: 07/01/1990
Publisher: Cambridge University Press
A complete introduction to descriptive and inferential statistics using an informal approach that explains why certain statistical methods are used, and how and when to apply them. Only a basic background in arithmetic and coordinate geometry is required.
- Cambridge University Press
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Table of ContentsPreface; 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.
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