COURSE
DESCRIPTION
This is the second course in research methods-data analysis
continuum for the under-graduate students of 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 bi-variate
relationships. Special topics discussed will include regression and
correlation, analysis of variance and non-parametric statistics. The
course will incorporate occasional use of set theory and calculus.
The objectives of this course are to acquaint the student with
statistical reasoning and to develop skills in quantitative
techniques that are useful in analyzing criminal justice data.

FORMAT

There will be 2 weekly lectures and a discussion session. The SPSS
system software will be used for the
course.

EVALUATION:

Home
Assignments
	25%
Quizzes 						
	20%

Mid-Term
Exam.
	25%
Final Exam.      					
	30%



REQUIRED TEXT
Jerome B. McKean and Bryan D. Byers 2000. Data Analysis for Criminal
Justice and Criminology: Practice and Applications New York: Allyn &
Bacon/ Longman.
ISBN: 0-205-27480-3

Class meeting:  Mondays and Wednesdays, 2:30-3:20, CH 001

Instructor:  Arvind Verma, criminal justice department