Statistical Methods for the Social Sciences, Global Edition, 5th edition

Published by Pearson (February 13, 2018) © 2019

  • Alan Agresti University of Florida

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Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

Statistical Methods for the Social Sciences, 5th Edition, Global Edition, by Alan Agresti. introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-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–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics.

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Table of contents

  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. Regression with Categorical Predictors: Analysis of Variance Methods
  13. Multiple Regression with Quantitative and Categorical Predictors
  14. Model Building with Multiple Regression
  15. Logistical Regression: Modeling Categorical Responses

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