Statistics for Criminology and Criminal Justice
Fourth Edition
- Jacinta M. Gau - University of Central Florida, USA
Other Titles in:
Criminal Justice | Criminology (General) | Research Methods for Criminology & Criminal Justice
Criminal Justice | Criminology (General) | Research Methods for Criminology & Criminal Justice
November 2025 | SAGE Publications, Inc
Statistics for Criminology and Criminal Justice, Fourth Edition demonstrates the relevancy of statistics in an age of artificial intelligence (AI), deep fakes, and misinformation by helping students ask the right questions so that they can be open-minded but sufficiently skeptical. Jacinta M. Gau uses conversational language to break down complicated concepts, presents statistical tests step by step, and uses SPSS to guide students through obtaining and interpreting output. New to the Fourth Edition are updated examples including the #MeToo and racial justice movements’ impact on the criminal justice system, implications of AI for fraud and cybercrime, and the increasing prevalence of mass casualty events. New data sets are provided, and many Critical Thinking Questions, Learning Checks, Chapter Review Questions have been expanded and updated. These changes reflect a commitment to making statistics more approachable and engaging for students, with a focus on real-world applications and critical thinking.
Preface to the Third Edition
Acknowledgments
About the Author
Part I: Descriptive Statistics
Chapter 1: Introduction to the Use of Statistics in Criminal Justice and Criminology
Chapter 2: Types of Variables and Levels of Measurement
Chapter 3: Organizing, Displaying, and Presenting Data
Chapter 4: Measures of Central Tendency
Chapter 5: Measures of Dispersion
Part II: Probability and Distributions
Chapter 6: Probability
Chapter 7: Population, Sample, and Sampling Distributions
Chapter 8: Point Estimates and Confidence Intervals
Part III: Hypothesis Testing
Chapter 9: Hypothesis Testing: A Conceptual Introduction
Chapter 10: Hypothesis Testing with Two Categorical Variables: Chi-Square
Chapter 11: Hypothesis Testing with Two Population Means or Proportions
Chapter 12: Hypothesis Testing with Three or More Population Means: Analysis of Variance
Chapter 13: Hypothesis Testing with Two Continuous Variables: Correlation
Chapter 14: Introduction to Regression Analysis
Appendix A. Review of Basic Mathematical Techniques
Appendix B. Standard Normal (z) Distribution
Appendix C. t Distribution
Appendix D. Chi-Square (?2) Distribution
Appendix E. F Distribution
Glossary
Learning Checks Answer Key
Review Problems Answer Key
References
Index