Statistical Methods for the Social Sciences

ISBN-10: 0135265266

ISBN-13: 9780135265260

Edition: 3rd 1997 (Revised)

List price: $137.33
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Description: Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists.TheThird Editionhas been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

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Book details

List price: $137.33
Edition: 3rd
Copyright year: 1997
Publisher: Prentice Hall PTR
Publication date: 3/18/1997
Binding: Hardcover
Pages: 643
Size: 7.25" wide x 9.75" long x 1.50" tall
Weight: 2.838
Language: English

Alan Agrestiis Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and four texts including "Statistics: The Art and Science of Learning From Data" (withnbsp;Christine Franklin,nbsp;Prentice Hall, 2nd edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

Introduction
Sampling and Measurement
Descriptive Statistics
Probability Distributions
Statistical Inference: Estimation
Statistical Inference: Significance Tests
Comparison of Two Groups
Analyzing Association Between Categorical Variables
Linear Regression and Correlation
Introduction to Multivariate Relationships
Multiple Regression and Correlation
Comparing Groups: Analysis of Variance Methods
Combining Regression and ANOVA: Analysis of Covariance
Model Building with Multiple Regression
Logistic Regression: Modeling Categorical Responses
Introduction to Advanced Topics
Appendix: SAS and SPSS for Statistical Analyses
Tables
Answers to Selected Problems
Index
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