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Statistical methods for the social sciences / Alan Agresti, Barbara Finlay.

By: Agresti, Alan.
Contributor(s): Finlay, Barbara.
Publisher: Upper Saddle River, N.J. : Pearson Prentice Hall, c2009Edition: 4th ed.Description: xiii, 609 p. : ill. ; 26 cm.ISBN: 9780137131501 (pbk.); 013713150X (pbk.).Subject(s): Statistics | Social sciences -- Statistical methodsDDC classification: 519.5
Contents:
1. Introduction. 2. Sampling and Measurement . 3. Descriptive Statistic. 4. Probability Distributions. 5. Statistical Inference: Estimation. 6. Statistical Inference: Significance Tests. 7. Comparison of Two Groups. 8. Analyzing Association between Categorical Variable. 9. Linear Regression and Correlation. 10. Introduction to Multivariate Relationships. 11. Multiple Regression and Correlation. 12. Comparing Groups: Analysis of Variance (ANOVA) Methods. 13. Combining Regression and ANOVA: Quantitative and Categorical Predictors. 14. Model Building with Multiple Regression. 15. Logistic Regression: Modeling Categorical Responses. 16. An Introduction to Advanced Methodology. - App. A SPSS and SAS for Statistical Analyses. - App. B Answers to Selected Odd-Numbered Exercises. - Tables. - Bibliography. - Index.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode
Main Collection Taylor's Library-TC

Floor 4, Shelf 39 , Side 1, TierNo 1, BayNo 4

 519.5 AGR (Browse shelf) 1 Available GENxx,GENxx,03,GR 5000085936

Includes bibliographical references (p. 599-600) and index.

1. Introduction. 2. Sampling and Measurement . 3. Descriptive Statistic. 4. Probability Distributions. 5. Statistical Inference: Estimation. 6. Statistical Inference: Significance Tests. 7. Comparison of Two Groups. 8. Analyzing Association between Categorical Variable. 9. Linear Regression and Correlation. 10. Introduction to Multivariate Relationships. 11. Multiple Regression and Correlation. 12. Comparing Groups: Analysis of Variance (ANOVA) Methods. 13. Combining Regression and ANOVA: Quantitative and Categorical Predictors. 14. Model Building with Multiple Regression. 15. Logistic Regression: Modeling Categorical Responses. 16. An Introduction to Advanced Methodology. - App. A SPSS and SAS for Statistical Analyses. - App. B Answers to Selected Odd-Numbered Exercises. - Tables. - Bibliography. - Index.