# Elementary Statistics in Social Research, CourseSmart eTextbook, 11th Edition

Published Date: Mar 27, 2009

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## Description

This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.

IN THIS SECTION:

1.) BRIEF

2.) COMPREHENSIVE

Chapter 1 Why the Social Researcher Uses Statistics

PART ONE:  Description

Chapter 2 Organizing the Data

Chapter 3 Measures of Central Tendency

Chapter 4 Measures of Variability

PART TWO: From Description to Decision Making

Chapter 5  Probability and the Normal Curve

Chapter 6 Samples and Populations

PART THREE: Decision Making

Chapter 7 Testing Differences between Means

Chapter 8  Analysis of Variance

Chapter 9 Nonparametric Tests of Significance

PART FOUR: From Decision Making to Association

Chapter 10 Correlation

Chapter 11 Regression Analysis

Chapter 12 Nonparametric Measures of Correlation

PART FIVE:  Applying Statistics

Chapter 13 Choosing Statistical Procedures for Research Problems

APPENDICES

Appendix A   Introduction to SPSS

Appendix B  A Review of Some Fundamentals of Mathematics

Appendix C  Tables

Appendix D  List of Formulas

Glossary

Index

(All chapters end with Summary, Terms to Remember, and Questions & Problems)

Chapter 1 Why the Social Researcher Uses Statistics

-  The Nature of Social Research

-  Why Test Hypotheses?

-  The Stages of Social Research

-  Using Series of Numbers to Do Social Research

-  The Functions of Statistics

PART ONE:  Description

Chapter 2 Organizing the Data

-  Frequency Distributions of Nominal Data

-  Comparing Distributions

-  Proportions and Percentages

-  Ratios and Rates

-  Simple Frequency Distributions of Ordinal and Interval Data

-  Grouped Frequency Distributions of Interval Data

-  Cumulative Distributions

-  Percentile Ranks

-  Dealing with Decimal Data

-  More on Class Limits

-  Flexible Class Intervals

-  Cross-Tabulations

-  Graphic Presentations

Chapter 3 Measures of Central Tendency

-  The Mode

-  The Median

-  The Mean

-  Taking One Step at a Time

-  Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution

-  Comparing the Mode, Median, and Mean

Chapter 4 Measures of Variability

-  The Range

-  The Inter-Quartile Range

-  The Variance and Standard Deviation

-  The Raw-Score Formula for Variance and Standard Deviation

-  Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution

-  The Meaning of the Standard Deviation

-  Comparing Measures of Variability

-  Visualizing Distributions

PART TWO: From Description to Decision Making

Chapter 5  Probability and the Normal Curve

-  Rules of Probability

-  Probability Distributions

-  The Normal Curve as a Probability Distribution

-  Characteristics of the Normal Curve

-  The Model and the Reality of the Normal Curve

-  The Area under the Normal Curve

-  Standard Scores and the Normal Curve

-  Finding Probability under the Normal Curve

Chapter 6 Samples and Populations

-  Sampling Methods

-  Sampling Error

-  Sampling Distribution of Means

-  Standard Error of the Mean

-  Practical and Statistical: Weigh It Again, Sam

-  Confidence Intervals

-  The t Distribution

-  Estimating Proportions

PART THREE: Decision Making

Chapter 7 Testing Differences between Means

-  The Null Hypothesis: No Difference between Means

-  The Research Hypothesis: A Difference between Means

-  Sampling Distribution of Differences between Means

-  Testing Hypotheses with the Distribution of Differences between Means

-  Levels of Significance

-  Standard Error of the Difference between Means

-  Testing the Difference between Means

-  Comparing Related Samples

-  Two Sample Test of Proportions

-  One-Tailed Tests

-  Requirements for Testing the Difference between Means

Chapter 8 Analysis of Variance

-  The Logic of Analysis of Variance

-  The Sum of Squares

-  Mean Square

-  The F Ratio

-  A Multiple Comparison of Means

-  Two-Way Analysis of Variance

-  Requirements for Using the F Ratio

Chapter 9 Nonparametric Tests of Significance

-  One-Way Chi-Square Test

-  Two-Way Chi-Square Test

-  The Median Test

PART FOUR: From Decision Making to Association

Chapter 10 Correlation

-  Strength of Correlation

-  Direction of Correlation

-  Curvilinear Correlation

-  The Correlation Coefficient

-  Pearson’s Correlation Coefficient

-  The Importance of Scatter Plots

-  Partial Correlation

Chapter 11 Regression Analysis

-  The Regression Model

-  Interpreting the Regression Line

-  Prediction Errors

-  Regression and Pearson’s Correlation

-  Regression and Analysis of Variance

-  Multiple Regression

-  Logistic Regression

Chapter 12 Nonparametric Measures of Correlation

-  Spearman’s Rank-Order Correlation Coefficient

-  Goodman’s and Kruskal’s Gamma

-  Correlation Coefficient for Nominal Data Arranged in a 2 ? 2 Table

-  Correlation Coefficients for Nominal Data in Larger than 2 X 2 Tables

PART FIVE:  Applying Statistics

Chapter 13 Choosing Statistical Procedures for Research Problems

-  Research Situations

-  Research Solutions

APPENDICES

Appendix A   Introduction to SPSS

Appendix B  A Review of Some Fundamentals of Mathematics

Appendix C  Tables

Appendix D  List of Formulas

Glossary