For a one-semester, undergraduate introductory course in social statistics. #xA0; Statistical tools for understanding the social world. #xA0; This first edition text seeks to answer the question, universally asked by the social science student, #x1C;Why statistics?#x1D; The author introduces only those statistical concepts that are necessary to understand, interpret, and present social science research.#xA0; All concepts are introduced in the context of a social science application, and strong emphasis is placed on demonstrating what data #x1C;looks like,#x1D; as opposed to giving theoretical explanations. Complexity of calculations is reduced to those elements necessary for understanding the statistical concept.#xA0; Optional technology use is paired with the core elements of the course, making this text a pragmatic and engaging introduction to the practice of social statistics.

Eric J. Krieg is an Associate Professor of Sociology at Buffalo State College in Buffalo, NY. In addition to statistics, he teaches courses on research methods, social problems, theory, and globalization. An environmental sociologist, his work in the field of environmental justice and the unequal distribution of ecological hazards appears in numerous journals. A more recent area of interest is the sociology of food and food systems with an emphasis on milk production and the alternative dairy movement.

** ****IN THIS SECTION:**

**1.) BRIEF TABLE OF CONTENTS **

**2.) FULL TABLE OF CONTENTS **

** **__BRIEF TABLE OF CONTENTS:__

Chapter 1: Concepts, Variables, and Measurement

Chapter 2: Frequency Tables Introduction

Chapter 3: Measures of Central Tendency

Chapter 4: Measures of Dispersion

Chapter 5: Probability and the Normal Curve Introduction

Chapter 6: Probability- From Samples to Statistics

Chapter 7: Crosstabulation Tables and Chi-Square (*X* ^{2})

Chapter 8: Measures of Association for Categorical Variables

Chapter 9: Analysis of Variance (ANOVA)

Chapter 10: Correlation and Regression

** **__COMPREHENSIVE TABLE OF CONTENTS: __

**Chapter 1: Concepts, Variables, and Measurement**

Introduction

Concepts

Why Statistics?

Variables

Independent and Dependent Variables

Measurement

Graphical Representation of Data (What Data “look” Like)

Validity and Reliability

Individual Data

Ecological Data

Chapter Summary

** **

Chapter 2: Frequency Tables

Introduction

Toxic Waste and “Superfund”

Frequency Tables

Superfund Sites: Frequency Table for a Nominal Variable

Frequency Table for an Ordinal Variable

Frequency Table for an Interval/Ratio Variable

Chapter Summary

**Chapter 3: Measures of Central Tendency**

Introduction

Averages and Energy Consumption

Definitions of Mode, Median, and Mean

Calculating Measures of Central Tendency with Raw Data

Calculating Measures of Central Tendency with Grouped Data

Chapter Summary

**Chapter 4: Measures of Dispersion**

Introduction

The Distribution of Education in the U.S.

Range

Interquartile Range

Mean Deviation

Variance and Standard Deviation

Variance (S²)

Standard Deviation (S)

Standard Deviation and the Normal Curve

Chapter Summary

** **

Chapter 5: Probability and the Normal Curve

Introduction

Intelligence, Life Chances, and Inequality

The Fundamentals of Probability

Probability Using Frequency Tables

Probability and the Normal Curve

Using Z-Scores to Find Percentiles

Chapter Summary

**Chapter 6: Probability- From Samples to Statistics**

Introduction

The Politics of Sampling: Global Warming and Political Party

Sampling and Statistics

The Standard Error of the Mean

The Standard Error of the Proportion

Other Confidence Intervals

The t Distribution

Hypotheses and Testing Differences between Means

Potential Errors: Type I and Type II

Chapter Summary

**Chapter 7: Crosstabulation Tables and Chi-Square (***X* ^{2})

Introduction

The “Environmental Decade” and Environmentalism

Data Presented in Crosstabulation Tables

Crosstabulation and The Chi-Square Test of Statistical Significance (*X* ^{2})

Chapter Summary

**Chapter 8: Measures of Association for Categorical Variables**

Introduction

Social Institutions and Social Control

Nominal Measures of Association

Ordinal Measures of Association

Chapter Summary

**Chapter 9: Analysis of Variance (ANOVA)**

Introduction

Smoking on Campus

ANOVA

Chapter Summary

**Chapter 10: Correlation and Regression**

Introduction

Unequal America

Scatterplots: The Underlying Logic behind Correlation

Correlation

Linear Regression

Chapter Summary

* *

* *Appendix A: Statistical Tables

Appendix B: Data Sets

Appendix C: Getting Started Guide for SPSS

Appendix D: Answers to Odd-Numbered Exercises