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Applied statistics for the behavioral sciences / Dennis E. Hinkle, William Wiersma, Stephen G. Jurs.

By: Hinkle, Dennis E.
Contributor(s): Wiersma, William | Jurs, Stephen G.
Material type: materialTypeLabelBookCall no.: STAT HA 2003 648354Publication: Boston, Mass. : Houghton Mifflin, c2003Edition: 5th ed.Description: xxi, 756 p. : ill.Notes: Previous edition: 1998.ISBN: 0618124055; 9780618124053.Subject(s): Social sciences -- Statistical methods | Statistics
Contents:
1. Introduction -- 2. Organizing and graphing data -- 3. Describing distributions: individual scores, central tendency, and variation -- 4. The normal distribution -- 5. Correlation: a measure of relationship -- 6. Linear regression: prediction -- 7. Sampling, probability, and sampling distributions -- 8. Hypothesis testing: one-sample case for the mean -- 9. Estimation: one-sample case for the mean -- 10. Hypothesis testing: one-sample case for other statistics -- 11. Hypothesis testing: two-sample case for the mean -- 12. Hypothesis testing: two-sample case for other statistics -- 13. Determining power and sample size -- 14. Hypothesis testing, K-sample case: analysis of variance, one-way classification -- 15. Multiple-comparison procedures -- 16. Analysis of variance, two-way classification -- 17. Linear regression: estimation and hypothesis testing -- 18. Multiple linear regression -- 19. Analysis of covariance -- 20. Other correlation coefficients -- 21. Chi square (x2) tests for frequencies -- 22. Other nonparametric tests.
List(s) this item appears in: New Books 2015-06 (Foreign)
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Previous edition: 1998.

Includes bibliographical references and index.

1. Introduction -- 2. Organizing and graphing data -- 3. Describing distributions: individual scores, central tendency, and variation -- 4. The normal distribution -- 5. Correlation: a measure of relationship -- 6. Linear regression: prediction -- 7. Sampling, probability, and sampling distributions -- 8. Hypothesis testing: one-sample case for the mean -- 9. Estimation: one-sample case for the mean -- 10. Hypothesis testing: one-sample case for other statistics -- 11. Hypothesis testing: two-sample case for the mean -- 12. Hypothesis testing: two-sample case for other statistics -- 13. Determining power and sample size -- 14. Hypothesis testing, K-sample case: analysis of variance, one-way classification -- 15. Multiple-comparison procedures -- 16. Analysis of variance, two-way classification -- 17. Linear regression: estimation and hypothesis testing -- 18. Multiple linear regression -- 19. Analysis of covariance -- 20. Other correlation coefficients -- 21. Chi square (x2) tests for frequencies -- 22. Other nonparametric tests.

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