Statistical Methods for the Social Sciences, 5th edition

Published by Pearson (July 14, 2021) © 2018

  • Alan Agresti University of Florida
Products list

eTextbook features

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
Products list

Details

  • A print text

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 5th 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

This publication contains markup to enable structural navigation and compatibility with assistive technologies. Images in the publication MAY NOT be fully described, which is a barrier to those who rely on alternative text descriptions. The publication supports text reflow and contains no content hazards known to cause adverse physical reactions.

Need help? Get in touch