Jon L. Proctor received his bachelor's and master's degrees in criminal justice from the University of Nebraska
and his doctorate in sociology from the University of Nebraska. His teaching interests are primarily in the areas
of research methods, statistics, and corrections-related courses. His research focuses on a variety of correctional
issues, including classification, parole, and institutional control of inmate populations.
Badzinski, Diane M. :
Diane M. Badzinski received her bachelor's degree from St. Cloud State University, her master's degree from
the University of California, Santa Barbara, and her doctorate from the University of Wisconsin-Madison. After
ten years of teaching at the University of Nebraska-Lincoln, she resigned her position and now teaches part-time.
Although her teaching interests and responsibilities often lie in research methods and statistics, she also enjoys
teaching a variety of communication courses.
Summary
EXCEL IN STATISTICS USING EXCEL
Whether you are interested in implementing change in the criminal justice system, shaping public policy, or developing
and testing theories of crime, a basic understanding of statistics is essential. Designed for students with little
or no familiarity with statistics, Introductory Statistics for Criminal Justice and Criminology presents clear
explanations of the underlying concepts of statistical inference and hypothesis testing. The text also features
step-by-step demonstrations of common statistical procedures used in criminal justice research.
Special Features of the Text:
Special features of Introductory Statistics for Criminal Justice and Criminology include the following:
Computer Application. Perhaps the most unique feature of this text is its application of Excel. This software
allows students to visualize the step-by-step processes of statistical calculations and perform more advanced statistical
techniques using the function wizard and data analysis tool.
ExploreIT! Boxes. Each chapter begins with an ExploreIT! box that introduces a statistical technique for addressing
a specific research problem.
TryIT! Boxes. To reinforce key concepts, TryIT! boxes are inserted throughout the text requiring students to
perform different statistical tests.
Key Terms. Throughout the book, key terms are defined and printed in bold type.
Problem Sets. At the end of most chapters, problem sets are provided requiring students to calculate and interpret
different statistical tests.
Table of Contents
1. Purpose of Statistics.
2. Foundations of Research.
3. Data Organization.
4. Measures of Central Tendency.
5. Measures of Dispersion.
6. Probability Theory.
7. Sample Statistics to Population Parameters.
8. Statistical Analysis for a Population Mean and Proportion: z Tests.
9. Statistical Analysis for Nominal and Ordinal Variables: Chi-Square and Spearman's Rho.
10. Statistical Analysis for Comparing Two Population Means: t Tests.
11. Statistical Analysis for Comparing Three or More Population Means: Analysis of Variance.
12. Statistical Analysis for Assessing Relationships: Correlation.
13. Statistical Analysis for Prediction: Regression.
Appendix A. Probability Distribution Tables.
Appendix B. Chapter Solutions for Odd Questions.
Index.