P595 | 1502 | Verma

This is a course in applied data analysis for graduate students in Criminal Justice at Indiana University. The course is an introduction to probability and statistics and will deal with various methods of data handling. Topics will include the basic concepts and measures in statistical analysis; methods for describing sets of data, measures of central tendency and dispersion; elementary probability theory and conditional probability; concepts of statistical inference and decision; estimation, hypothesis testing and analysis of bivariate relationships. Special topics discussed will include regression and correlation, analysis of variance, non-parametric statistics, and multivariate models. The course will incorporate occasional use of set theory, calculus and matrix algebra. The objectives of this course will be to acquaint the student with statistical reasoning, to understand techniques that are useful in analyzing criminal justice data and to comprehend quantitative research in this field. Class Meeting: One 150-minute lecture (T, 5:45 - 8:15P, BH 108) Enrollment in this section is limited to graduate students Instructor: Professor Arvind Verma, Criminal