CCJS200: Statistics for Criminology and Criminal Justice

Introduction to descriptive and inferential statistics, graphical techniques, and the computer analysis of criminology and criminal justice data. Basic procedures of hypothesis testing, correlation and regression analysis, and the analysis of continuous and binary dependent variables. Emphasis upon the examination of research problems and issues in criminology and criminal justice.
Prerequisites/Rules:
CCJS100 or CCJS105; and minimum grade of C- in MATH111. Restriction: Must be in Criminology and Criminal Justice program; or permission of BSOS-Criminology & Criminal Justice department. Credit only granted for: BIOM301, BMGT230, CCJS200, ECON321, EDMS451, GEOG306, GVPT422, PSYC200 or SOCY201.
Credits: 3
Grading Method: Regular Regular grading , Pass-Fail Grading is either Pass or Fail , Audit No grade is assigned
Course Offering
    Spring 2017 Instructor: Daren Fisher View Syllabus
    Summer 2017 Instructor: Alan Robertson Lehman View Syllabus
    Fall 2017 Instructor: Miranda Galvin View Syllabus
    Spring 2018 Instructor: Alan Robertson Lehman
    Fall 2016 Instructor: Ray Paternoster View Syllabus