Statistical Methods for the Social Sciences, Global Edition
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Table of Contents

  • 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
  • Model Building with Multiple Regression
  • Logistic Regression: Modeling Categorical Responses
  • An Introduction to Advanced Methodology

About the Author

Alan Agresti is a Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He taught statistics there for 38 years, including the development of e-courses in statistical methods for social science students and three courses in categorical data analysis.

He is the author of more than 100 refereed articles and six texts, including Statistical Methods for the Social Sciences (Pearson, 5th edition, 2018) and An Introduction to Categorical Data Analysis (Wiley, 3rd edition, 2019). Alan has also received teaching awards from the University of Florida and an Excellence in Writing award from John Wiley & Sons.

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