Introduction to Statistics in Criminal Justice and Criminology. A Practical Approach to Calculating, Using, and Interpreting Data - Arthur J. Lurigio;Michael Perry;Nathan Lutz;George K. Thiruvathukal

An Accessible, Scenario-Driven Foundation for Statistics in Criminal Justice

A solid understanding of statistics is essential for interpreting research, evaluating evidence, and making informed decisions across the social sciences. Introduction to Statistics in Criminal Justice and Criminology offers a clear and structured path to the tools and reasoning that shape empirical inquiry in the field. Emphasizing the practical purposes of statistical thinking, this student-friendly textbook explains how data is organized, described, compared, and analyzed to answer meaningful questions.

Each chapter opens with a relatable scenario that frames key concepts, guiding students as they move from foundational topics—such as descriptive statistics and normal distributions—to applications including hypothesis testing, chi-square analysis, regression, ANOVA, and survival analysis. Step-by-step examples, end-of-chapter problems, and intuitive visual displays help students engage more deeply with empirical scholarship and apply a range of data-driven methods.

By presenting statistics as both a practical toolkit and an essential mode of reasoning, this comprehensive guide: Balances conceptual understanding with applied calculation to support success in higher-level coursework Provides a consistent framework that connects chapter content to decision-making and research design Uses clear explanations to demystify core statistical ideas and frequently misunderstood concepts Strengthens computational literacy through a user-friendly software tool aligned with the chapter material Offers chapter summaries, structured practice opportunities, and extendable problem sets Draws on the authors' extensive experience in criminal justice, psychology, mathematics, statistics, and computer science Leverages the expertise of an interdisciplinary team spanning psychology, computer science, data science, and statistics.

Requiring no advanced mathematical training, Introduction to Statistics in Criminal Justice and Criminology: A Practical Approach to Calculating, Using, and Interpreting Data is ideal for undergraduate and postgraduate courses such as Statistics in Criminal Justice, Introduction to Statistics in Criminal Justice, and Statistics for the Social Sciences. It supports required quantitative training across criminal justice curricula and prepares students in bachelor’s and graduate programs to interpret research and engage in data-informed study and practice.