Course Description
Introduction to fundamental statistical techniques for data analytics such as hypothesis testing, data transformation, estimation, confidence intervals, regressions models, ANOVA, multivariate analysis, non-parametric methods, and design of experiments. Prerequisite: Student in the M.S. in Informatics and Analytics or the M.S. in Applied Statistics program or permission of instructor.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Identify a statistical technique appropriate to address a given research question
- Analyze the implications of study design on the type of statistical inference
- Demonstrate the implications of violations of assumptions of statistical methods, and identify adjustments or alternative procedures when necessary
- Apply various data analysis tools for one, two and multi-sample inference
- Reproduce Model selection techniques for various analyses
- Communicate clearly and correctly the results of statistical analyses
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Assignment 1: Exercises completed by teams | 20% |
| Assignment 2: Final report | 80% |
| Participation/Professionalism | 0% |
Attendance/Participation:
Students choose their own teams for each graded assignment. Everyone on a team will earn the same grade on the assignment unless there is an accusation of misconduct such as plagiarism in the form of taking credit for an assignment without having contributed to it. If a team decides to remove one of its members for not contributing anything, that student should be politely notified early enough to allow time for completing the assignment.
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.