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Basic Statistics for Social Research

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This is the 1st edition with a publication date of 12/4/2012.
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Basic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions, tabulations, central tendency, variability, independence, correlation and regression. The use of math and theory are deliberately limited, and the authors focus on how the concepts and tools of statistics are used in the analysis of social science data, rather than on the mathematical and computational aspects. The book also emphasizes the use of computer software to calculate statistics. The book is designed for students in the social sciences.

Author Biography

ROBERT A. HANNEMAN is a professor of sociology at the University of California,Riverside.

AUGUSTINE J. KPOSOWA is a professor of sociology at the University of California, Riverside.

MARK D. RIDDLE is the Director of Institutional Research at Antioch University Los Angeles.

Table of Contents

Tables and Figure



The Authors

Part 1 Univariate Description

Chapter 1: Statistics and the Research Process

Chapter 2: Frequency Distribution

Chapter 3: Central Tendency

Chapter 4: Dispersion

Chapter 5: Distribution Shape

Part 2 Inference and Hypothesis Testing

Chapter 6: The Normal Distribution

Chapter 7: Basic Ideas of Statistical Inference

Chapter 8: Hypothesis Testing for One Sample

Chapter 9: Hypothesis Testing for Two Samples

Chapter 10: Multiple Group Tests for Proportions: Chi-square

Chapter 11: Multiple Sample Tests for Means: One-way ANOVA

Part 3 Association and Prediction

Chapter 12: Association with Categorical Variables

Chapter 13: Association with Interval/Ratio Variables

Chapter 14: Prediction for Interval/Ratio Outcomes

Chapter 15: Prediction for Categorical Outcomes



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