STATISTICAL METHODS FOR THE SOCIAL SCIENCES 6ED
Alan Agresti
Editorial: Pearson Global Editions
Edition: 6
publication date: 2024
ISBN: 9781292449197
ISBN ebook: 9781292449142
pages: 602
Grade: Universitario
Area: Economía y Empresa
Section: Estadística y Matemáticas
Language: Inglés
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Edition: 6
publication date: 2024
ISBN: 9781292449197
ISBN ebook: 9781292449142
pages: 602
Grade: Universitario
Area: Economía y Empresa
Section: Estadística y Matemáticas
Language: Inglés
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Preface
Chapter 1. Introduction
Chapter 2. Sampling and Measurement
Chapter 3. Descriptive Statistics
Chapter 4. Probability Distributions
Chapter 5. Statistical Inference: Estimation
Chapter 6. Statistical Inference: Significance Tests
Chapter 7. Comparison of Two Groups
Chapter 8. Analyzing Association Between Categorical Variables
Chapter 9. Linear Regression and Correlation
Chapter 10. Introduction to Multivariate Relationships
Chapter 11. Multiple Regression and Correlation
Chapter 12. Regression with Categorical Predictors: Analysis of Variance Methods
Chapter 13. Multiple Regression with Quantitative and Categorical Predictors
Chapter 14. Model Building with Multiple Regression
Chapter 15. Logistic Regression: Modeling Categorical Responses
Chapter 16. An Introduction to Advanced Methodology
Appendix: R, Stata, SPSS, and SAS for Statistical Analyses
Bibliography
Credits
*The digital edition does not include access codes to additional material or programs mentioned in the book.
Ideal for social science majors, Statistical Methods for the Social Sciences applies statistical methods to the social sciences and makes methods more accessible with an emphasis on concepts. It highlights applications throughout, assuming no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a 2-semester course.
The 6th Edition uses examples and exercises with a variety of real data. It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics while avoiding an overly simplistic, recipe-based approach to statistics.
University of Florida
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