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

By: Contributor(s): Material type: TextPublication details: Upper Saddle River, N.J. : Pearson Prentice Hall, c2009.Edition: 4th edDescription: xiii, 609 p. : ill. ; 26 cmISBN:
  • 9780130272959
Subject(s): LOC classification:
  • QA276.12 .A47 2009
Contents:
1. Introduction -- 2. Sampling and Measurement -- 3. Descriptive Statistics -- 4. Probability Distributions -- 5. Statistical Inference: Estimation -- 6. Statistical Inference: Significance Tests -- 7. Comparison of Two Groups -- 8. Analyzing Association between Categorical Variables -- 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.
Item type: Research Collection
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Judith Thomas Library Judith Thomas Library Research Section JTL Research Collection QA 276.12 .A47 2009 (Browse shelf(Opens below)) AUA22184 Available AUA22184

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1. Introduction --
2. Sampling and Measurement --
3. Descriptive Statistics --
4. Probability Distributions --
5. Statistical Inference: Estimation --
6. Statistical Inference: Significance Tests --
7. Comparison of Two Groups --
8. Analyzing Association between Categorical Variables --
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.