Statistics for Criminal Justice and Criminology in Practice and Research

Perfect for students looking towards a career in either criminology or criminal justice, this exciting text makes statistics less daunting.

Statistics for Criminal Justice and Criminology in Practice and Research is an engaging and comprehensive introduction to the study of basic statistics for students pursuing careers as practitioners or researchers in both Criminal Justice and Criminology programs. This student-friendly text shows how to calculate a variety of descriptive and inferential statistics, recognize which statistics are appropriate for particular data analysis situations, and perform hypothesis tests using inferential statistics.

But it is much more than a "cook book." It encourages readers to think critically about the strengths and limitations of the statistics they are calculating, as well as how they may be misapplied and misleading. Examples of statistics and statistical analyses are drawn from the worlds of the practitioner as well as the policymaker and researcher. Students will also gain a clear understanding of major ethical issues in conducting statistical analyses and reporting results, as well as insight into the realities of the life of researchers and practitioners as they use statistics and statistical analyses in their day-to-day activities.

Chapter 1. The Study of Statistics in Criminal Justice
Chapter 2. Scientific Research and Statistical Analysis
Chapter 3. Basic Descriptive Univariate Analysis
Chapter 4. Describing Univariate Distributions
Chapter 5. Distributions: Normal and Otherwise
Chapter 6. An Introduction to Probability Theory and Probability Distributions
Chapter 7. Univariate Inferential Statistics: Sampling Distributions and Population Parameter Estimations
Chapter 8. Bivariate Hypothesis Testing With Nominal and Ordinal Variables
Chapter 9. Bivariate Hypothesis Testing For the Difference Between Two Means
Chapter 10. Bivariate Hypothesis Testing With One-Way Analysis of Variance
Chapter 11. Bivariate Linear Regession and Correlation and Linear Partial Regression and Correlation
Chapter 12. Multivariate Linear Regression and Correlation Analysis and Logistic Regression – An Introduction
Chapter 13. Nonparametric Statistics
Chapter 14. Real Life Adventures of Statistics Users
Chapter 15. Summary and Conclusions
Glossary
Answers to Questions
Bibliography
List of Key Formulas