The Department of Mathematics is pleased to offer a minor in statistics. Statistics and data handling are present now in almost every discipline. This program will give non-statistics majors exposure to applied data analysis methods such as linear regression, logistic regression, multivariate analysis, etc., including statistical computing using R. Students will be able to complete the statistics minor without the entire calculus sequence plus linear algebra.
Matriculation Requirements
- Completion of STAT 2040 Principles of Statistics QL or STAT 2050 Introduction to Statistical Methods (or equivalent) with an overall GPA of 2.5 or better
- Student must meet with the math department advisor and declare an intent to minor in statistics.
Graduation Plan
This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.
Plan of Study Grid | First Year |
|---|
| Semester 1 |
|---|
STAT 2040
| Principles of Statistics QL
or Introduction to Statistical Methods | 4 |
| | Credit Hours | 4 |
| Semester 2 |
|---|
| 3 |
| Applied Mathematics for Statistical Methods | |
| Linear Algebra | |
| | Credit Hours | 3 |
| Second Year |
|---|
| Semester 3 |
|---|
| STAT 4000 | Applied Regression and Time Series WE | 3 |
| STAT 4400 | Multivariate Analysis WE | 3 |
| | Credit Hours | 6 |
| Semester 4 |
|---|
| 3 |
| 3 |
| | Credit Hours | 6 |
| Third Year |
|---|
| Semester 5 |
|---|
| 3 |
| | Credit Hours | 3 |
| | Total Credit Hours | 22 |
