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

By: Contributor(s): Publication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2009.Edition: 4th edDescription: xiii, 609 p. : ill. ; 26 cmISBN:
  • 9780137131501 (pbk.)
  • 013713150X (pbk.)
Subject(s): DDC classification:
  • 519.5 AGR
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.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library-TC

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

 519.5 AGR (Browse shelf(Opens below)) 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.