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Statistical Methods for the Social Sciences cover

Statistical Methods for the Social Sciences

by Alan Agresti

5th Edition

Publisher: Pearson

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Probability & Statistics

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Book Details

Print ISBN9780134507101
eText ISBN9780134512822
PublisherPearson
Publishing Year2018
Edition5th Edition
LanguageEnglish

Statistical Methods for the Social Sciences, 5th Edition, provides an accessible introduction to statistical methods tailored for social science majors. Emphasizing concepts and applications, the textbook assumes no prior statistics background and requires only a minimal mathematical foundation.

The volume addresses foundational data handling, probability distributions, and core statistical inference, including estimation and significance testing. Later topics cover categorical variable analysis, regression modeling, and multivariate relationships.

Providing sufficient content for a two-semester course, this edition integrates examples and exercises based on real data to support practical learning without adopting a recipe-based formula.

Table of Contents

  1. Chapter 1: Introduction

  2. Chapter 2: Sampling and Measurement

  3. Chapter 3: Descriptive Statistics

  4. Chapter 4: Probability Distributions

  5. Chapter 5: Statistical Inference: Estimation

  6. Chapter 6: Statistical Inference: Significance Tests

  7. Chapter 7: Comparison of Two Groups

  8. Chapter 8: Analyzing Association between Categorical Variables

  9. Chapter 9: Linear Regression and Correlation

  10. Chapter 10: Introduction to Multivariate Relationships

  11. Chapter 11: Multiple Regression and Correlation

  12. Chapter 12: Model Building with Multiple Regression

  13. Chapter 13: Logistic Regression: Modeling Categorical Responses

  14. Chapter 14: An Introduction to Advanced Methodology

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