Statistical Methods for the Social Sciences, Global Edition, 6th edition

Published by Pearson (September 13, 2024) © 2024

  • Alan Agresti University of Florida
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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.

  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. Model Building with Multiple Regression
  13. Logistic Regression: Modeling Categorical Responses
  14. An Introduction to Advanced Methodology

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