CJ 3150 - Statistics for Criminal Justice

4 Credits (Minimum) 4 Credits (Maximum)

This introductory course focuses on the statistical techniques commonly used in criminal justice and criminology. This course will give students the skills necessary to compete in a data driven world by teaching them the basics of presenting information to facilitate informed decision making in criminal justice institutions. Students will learn how to interpret, conduct, and present descriptive and inferential statistical analyses in a data science framework. This course will cover measures of central tendency, hypothesis testing, correlation and regression analysis, and the analysis of continuous and binary dependent variables. Emphasis will be given to contemporary issues related to criminal justice and criminology by exploring the three elementary areas of: (1) description; (2) inference; and (3) correlation as they apply to examples and case studies that emphasize the use of data and statistics to solve real world problems in a criminal justice context. Approved for Compass Curriculum requirement: Quantitative Reasoning. Prer., CJ 3100 or SOC 3070 and Sophomore standing.