STAT 500: Applied Statistics
Course Overview
This graduate level course provides an introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis. It is intended for graduate students who have one undergraduate statistics course and who wish to review the fundamentals before taking additional 500 level statistics courses. This course is cohort-based, which means that there is an established start and end date, and that you will interact with other students throughout the course.
The following course outline is intended to give you a visual "snapshot" of the basic structure of the course. The major components of the course include a series of lessons — typically 14 in all — homework problems, quizzes, a mid-term as well as a final assignment.
Each of the 14 lessons, which are the "meat" of the course, consist of new content, homework problems, discussion boards, and occasionally a quiz.
Note : This graphic is intended only to give you a broad picture of the major components of the course, not the finer details. For more information concerning the course, such as the activities, assignments, communication methods, grading and other policies, please refer to the course syllabus.
