Terance D. Miethe and Jane Florence Gauthier

**CHAPTER 1: INTRODUCTION TO STATISTICAL THINKING**

**CHAPTER 2: GARBAGE IN, GARBAGE OUT**

Measurement Invalidity

Sampling Problems

Faulty Causal Inferences

Political Influences

Human Fallibility

**CHAPTER 3: ISSUES IN DATA PREPARATION**

Why Is Data
Preparation Important?

Operationalization and Measurement

*Nominal Measurement of Qualitative Variables*

*Measurement of Quantitative Variables*

*Issues in Levels of Measurement*

Coding and Inputting Statistical Data

Available Computer Software for Basic Data
Analysis

**CHAPTER 4: DISPLAYING DATA IN TABLES AND GRAPHIC FORMS**

The Importance of Data Tables and Graphs

Types of Tabular and Visual Presentations

*Tables and Graphs for Qualitative Variables*

*Tables and Graphs for Quantitative Variables*

*Ratios and Rates*

*Maps of*
*Qualitative and Quantitative Variables*

Hazards and Distortions in Visual Displays and Collapsing Categories

**CHAPTER 5: MODES, MEDIANS, MEANS, AND MORE**

Modes and Modal Categories

The Median and Other Measures of Location

The Mean and Its Meaning

*Weighted*
*Means*

*Strengths and Limitations of Mean Ratings*

Choice of Measure of Central Tendency and Position

**CHAPTER 6: MEASURES OF VARIATION AND DISPERSION**

The Range of Scores

The Variance and Standard Deviation

*Variances and Standard Deviations for Binary*
*Variables*

*Population versus Sample Variances & Standard Deviations*

**CHAPTER 7: THE NORMAL CURVE AND SAMPLING DISTRIBUTIONS**

The Normal Curve

Z-Scores as Standard Scores

Reading a Normal Curve Table

Other Sampling Distributions

*Binomial*
*Distribution*

*t-Distribution*

Chi-Square Distribution

F-Distribution

**CHAPTER 8: PARAMETER ESTIMATION AND CONFIDENCE INTERVALS**

Sampling Distributions and the Logic of Parameter Estimation

Inferences from Sampling Distributions to One Real Sample

Confidence Intervals:
Large Samples, ? Known

*Confidence Intervals for Population Means*

*Confidence Intervals for Population*

*Proportions*

Confidence Intervals: Small Samples and Unknown ?

*Properties of the t-Distribution*

*Confidence Intervals for Population Means for Unknown ?*

*Confidence Intervals*
*for Population*

*Proportion for Unknown ?*

**CHAPTER 9: INTRODUCTION TO HYPOTHESIS TESTING**

Confidence Intervals Versus Hypothesis Testing

Basic Terminology and Symbols

*Types of Hypotheses*

*Zone of Rejection and Critical Values*

*Significance Levels and Errors in*
*Decision-Making*

**CHAPTER 10: HYPOTHESIS TESTING FOR MEANS AND PROPORTIONS**

Types of Hypothesis Testing

*One-Sample Tests of the Population Mean*

*One-Sample Tests of a Population Proportion*

*Two Sample Test of Differences in Population Means*

*Two Sample Tests of Differences*
*in Population Proportions*

Issues in Testing Statistical Hypotheses

**CHAPTER 11: STATISTICAL ASSOCIATION IN CONTINGENCY TABLES**

The Importance of Statistical Association and Contingency Tables

The Structure of a Contingency Table

Developing Tables of Total, Row, and Column
Percentages

The Rules for Interpreting a Contingency Table

Specifying Causal Relations in Contingency Tables

Assessing the Magnitude of Bivariate

*Associations in Contingency Tables*

*Visual and Intuitive Approach*

*The Chi-Square Test of Statistical Independence*

Issues in
Contingency Table Analysis

*How Many Categories for Categorical Variables?*

*GIGO and the Value of Theory in Identifying Variables*

*Sample Size and Significance Tests*

*Other Measures of Association for Categorical Variables*

**CHAPTER 12: THE ANALYSIS OF VARIANCE
(ANOVA)**

Overview of ANOVA and When it is Used

Partitioning Variation into Between and Within Group Differences

*Calculating the Total Variation in a Dependent Variable*

*Calculating the Between-Group Variation*

*Calculating the Within-Group Variation*

Hypothesis Testing and
Measures of Association in ANOVA

*Testing the Hypothesis of Equality of Group Means*

*Measures of Association in ANOVA*

Issues in the Analysis of Variance

**CHAPTER 13: CORRELATION AND REGRESSION**

The Scatterplot of Two Interval/Ratio Variables

The Correlation
Coefficient

Regression Analysis

*The Computation of the Regression*

*Coefficient & Y-Intercept*

*Goodness of Fit of a Regression Equation*

*Hypothesis Testing and Tests of Statistical Significance*

*Using Regression Analysis for Predicting Outcomes*

Issues in Bivariate Regression
and Correlation Analysi

**CHAPTER 14: INTRODUCTION TO MULTIVARIATE ANALYSIS**

Why Do Multivariate Analysis?

*Exploring Multiple Causes*

*Statistical Control*

Types of Multivariate Analysis

*Multivariate Contingency Table Analysis*

*Partial Correlation*
*Coefficients*

*Multiple Regression Analysis*

Instructor's Manual on CD: 9780195367454

**Terance D. Miethe** is Professor of Criminal Justice at the University of Nevada, Las Vegas. He is author of *Simple Statistics: Applications in Criminology and Criminal Justice* (OUP, 2006) and coauthor of many books, including *Crime Profiles: The Anatomy of Dangerous Persons, Places, and*
*Situations* (OUP, 2005). **Jane Florence Gauthier** is Assistant Professor of Criminal Justice at the University of Nevada, Las Vegas. Her current research interests focus on gender differences in criminal offending and issues surrounding community structure and crime.

Jane Florence Gauthier
is Assistant Professor of Criminal Justice at the University of Nevada, Las Vegas. Her current research interests focus on gender differences in criminal offending and issues surrounding community structure and crime.

Making Sense - Margot Northey and Joan McKibbin

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