Statistics for the Average Criminology Student examines a wide range of statistical topics, starting with an introduction to the scientific process, data reduction, and visualization. It then moves on to cover measures of central tendency and dispersion, probability and sampling distributions, point estimates, confidence intervals, and hypothesis testing.
The textbook also covers more advanced topics such as chi-square tests for independence, t-tests, analysis of variance (ANOVA), correlation and regression, multivariate linear regression, and non-parametric alternatives to parametric tests. Throughout the textbook, emphasis is placed on the relevance of statistics to criminology research. Examples and real-world data are used to illustrate statistical concepts and techniques, including the interpretation of analytic findings. This allows the average student to see how statistics can be used to analyze criminology data, understand the effectiveness of interventions, and evaluate policy outcomes.
The textbook also includes practical exercises and problems that allow students to apply the concepts they have learned. These exercises are designed to develop students' skills in data analysis, interpretation, and communication. They provide opportunities for students to practice using SPSS, one of the most used statistical software packages in criminology research.