Crime statistics are everywhere, but how do you know when they’re valid? If a newspaper report says "the rate of overall violent crime decreased by 0.9 percent," how can you tell where that statistic came from, what it measures, and how accurate it is? Is it worth repeating or sharing? *Measuring Crime: Behind the Statistics* gives you the tools to interpret and evaluate crime statistics’ quality and usefulness.

Order from CRC Press, Barnes & Noble, or Amazon.

The second edition of *Sampling: Design and Analysis *was published in 2010 by Cengage and is now reprinted by CRC Press.* *

Order from CRC Press, Barnes & Noble, or Amazon.

From the back cover:

What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? *Sampling: Design and Analysis* tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields.

The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics.

Distinctive features include:

More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available.

An emphasis on survey design.

Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis.

Graphing data from surveys.

Computer code using SAS® software.

Online supplements containing data sets, computer programs, and additional material.

**Table of Contents**

Introduction / 1

Simple Probability Samples / 25

Stratified Sampling / 73

Ratio and Regression Estimation / 117

Cluster Sampling with Equal Probabilities / 165

Sampling with Unequal Probabilities / 219

Complex Surveys / 281

Nonresponse / 329

Variance Estimation in Complex Surveys / 365

Categorical Data Analysis in Complex Surveys / 401

Regression with Complex Survey Data / 429

Two-Phase Sampling / 469

Estimating Population Size / 495

Rare Populations and Small Area Estimation / 511

Survey Quality / 527

Probability Concepts Used in Sampling / 549

References / 563

Author Index / 587

Subject Index / 592