CJ 202 Criminal Justice Statistics

CJ 202 IS Sec 1, University of Mississippi
[See UM Catalog for Description]

3 credit hours

Instructor Information:

Dr. Wes Jennings

Instructor name:
Dr. Wes Jennings
Chair & Professor

Wesley G. Jennings, PhD, is Chair and Professor in the Department of Criminal Justice & Legal Studies at the University of Mississippi (Ole Miss).  He has a PhD in Criminology from the University of Florida, and a master’s and bachelor’s degree from the University of South Carolina.  His major research interests are quantitative methods and longitudinal data analysis.  He has been teaching for over 10 years at the undergraduate, master’s, and doctoral level.  He enjoys teaching his students and broadening their perspectives on complex (and sometimes controversial) topics, but also values learning from his students.

Contact Information:

If you have questions concerning the content of the course, you may contact the instructor directly using the Email Your Instructor link in the Lessons or Content page. NOTE: Whenever sending email, please be sure to indicate your course title and number in the subject line. You can expect a response within 72 hours, although it may be longer on weekends. Many instructors reply within 24 hours.

For lesson or test administration issues, please contact the iStudy department:

The University of Mississippi
Division of Outreach and Continuing Education
iStudy
P. O. Box 1848
University, MS 38677

Phone: (662) 915-7313, toll-free (877) 915-7313
Fax: (662) 915-8826
E-mail: istudy@olemiss.edu

Course Description

This independent study course is intended to examine descriptive, inferential, and multivariate statistics employed in criminal justice research about the nature of crimes, criminals, and the criminal justice system. The course includes 13 instructional lessons with required readings, quizzes, and/or assignments, four proctored course exams, and a proctored, comprehensive final exam.

Textbook Information:

Textbook information will be provided upon enrollment in your iStudy course.

Course Objectives:

Objectives include (but are not limited to):

  1. Demonstrate knowledge of the skills and skepticism to detect inappropriate uses of criminal justice statistical data.
  2. Differentiate the various types of statistical analysis procedures in the criminal justice field.
  3. Understand which statistical procedure is appropriate to utilize in a given situation in the criminal justice field.

Course Outline:

This course consists of thirteen instructional lessons and five examinations.

You MUST complete the syllabus quiz as soon as you have access to your Blackboard course. This is mandatory to verify your attendance.* NOTE: you must pass the Syllabus and Orientation Quiz for the course materials to appear on the Lessons page

Lesson Reading Assignments Due for Grades Suggested Pacing Guide
(if you want to complete the course in a traditional semester)
Start Here *You MUST complete the syllabus quiz as soon as you have access to your Blackboard course. This is mandatory to verify your attendance.*NOTE: you must pass the Syllabus and Orientation Quiz for the course materials to appear on the Lessons page. Syllabus Quiz Week 1
0 Course Introduction/Resources Discussion board Week 1
1 Chapter 1: Introduction to the Use of Statistics in Criminal Justice and Criminology Quiz
Week 1
2 Chapter 2: Types of Variables and Levels of Measurement  Quiz &
Statistics Computational Assignment #1
Week 2
3 Chapter 3: Organizing, Displaying, and Presenting Data Quiz Week 3
Proctored Course Exam 1 All assignments that come before the exam must be completed and submitted.
All assignments not completed and submitted before you take the midterm exam WILL RECEIVE A GRADE OF ZERO.
Course Exam 1
to be completed before proceeding 
Week 3
4 Chapter 4: Measures of Central Tendency Quiz Week 4
5 Chapter 5: Measures of Dispersion  Quiz &
Statistics Computational Assignment #2
Week 5
6 Chapter 6: Probability Quiz Week 6
Proctored Course Exam 2 All assignments that come before the exam must be completed and submitted.
All assignments not completed and submitted before you take the midterm exam WILL RECEIVE A GRADE OF ZERO.
Course Exam 2
to be completed before proceeding 
Week 6
MIDPOINT OF COURSE You MUST reach the midpoint of your course by the date specified in your information. All lesson assignments or exams needed to reach the midpoint of the course The exact date the semester students are required to reach the midpoint is specified in their registration information.
7 Chapter 7: Population, Sample, and Sampling Distributions Quiz Week 7
8 Chapter 8: Point Estimates and Confidence Intervals  Quiz &
Statistics Computational Assignment #3
Week 8
9 Chapter 9: Hypothesis Testing: A Conceptual Introduction  Quiz Week 9
Proctored Course Exam 3 All assignments that come before the exam must be completed and submitted.
All assignments not completed and submitted before you take the midterm exam WILL RECEIVE A GRADE OF ZERO.
Course Exam 3
to be completed before proceeding 
Week 9
10 Chapter 10: Hypothesis Testing With Two Categorical Variables: Chi-Square Quiz Week 10
11 Chapter 11: Hypothesis Testing With Two Population Means or Proportions Quiz Week 11
12 Chapter 12: Hypothesis Testing With Three or More Population Means: Analysis of Variance  Quiz &
Statistics Computational Assignment #4
Week 12
13 Chapter 13: Hypothesis Testing With Two Continuous Variables: Correlation  Quiz Week 13
Proctored Course Exam 4 All assignments that come before the exam must be completed and submitted.
All assignments not completed and submitted before you take the midterm exam WILL RECEIVE A GRADE OF ZERO.
Course Exam 4
to be completed before proceeding 
Week 13
14 Final Exam Preparation  None Week 14
Proctored
Final Exam
Be sure all work has been submitted and graded prior to taking this exam. Final Exam
To be submitted
to finalize credit
Week 15

The grading scale is as follows:
90 - 100% = A
80 - 89% = B
70 - 79% = C
60 - 69% = D
Below 59% = F

FAILURE TO TAKE THE FINAL EXAM WILL RESULT IN FAILURE OF THE COURSE.

You must submit the lessons required to take the course exam(s). Lessons required but not submitted will receive a grade of zero. For the final exam, all coursework must be submitted and graded.