A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R

1. Getting started. 2. Managing your data. 3. Data visualization. 4. Spatiotemporal data visualization and basic crime analysis. 5. Descriptive statistics: measures of central tendency. 6. Descriptive statistics: measures of dispersion. 7. Statistical inference in criminal justice research. 8. Defining the observed significance level of a test. 9. Hypothesis testing using the binomial distribution. 10. Chi-square: a test commonly used for nominal-level measures. 11. The normal distribution and its application to tests of statistical significance. 12. Comparing means in two samples. 13. Analysis of variance. 14. Measures of association for nominal and ordinal variables. 15. Measuring association for interval data. 16. Introduction to regression analysis.