Minor in Statistical Methods
A Minor in Statistical Methods consists of the following courses:
| Code | Title | Hours |
|---|---|---|
| Minor in Statistical Methods | ||
| Required Courses | ||
| Select six of the following | 18 | |
| Statistical Methods in Practice | ||
| Statistical Design and Analysis of Experiments | ||
| Sample Survey Methods | ||
| Introduction to Statistical Computing | ||
| Special Topics in Statistics | ||
| Nonparametric Statistics | ||
| Regression Modeling & Analysis | ||
| Quality Control & Reliability | ||
| Time Series and Forecasting | ||
| Introduction to Applied Bayesian Analysis | ||
| Introduction to Statistical Learning | ||
| Independent Study | ||
| Total Hours | 18 | |
Special topics courses include choices, such as Survival Modeling and Biostatistics.
A concentration of twelve semester hours is appropriate for students who need an understanding of statistics to augment study in another field but who do not require a minor in statistics. A typical concentration might consist of:
| Code | Title | Hours |
|---|---|---|
| Courses Required | ||
| STAT 3379 | Statistical Methods in Practice | 3 |
| Select three of the following: | 9 | |
| Statistical Design and Analysis of Experiments | ||
| Sample Survey Methods | ||
| Introduction to Statistical Computing | ||
| Special Topics in Statistics | ||
| Theory and Applications of Probability and Statistics I | ||
| Theory and Applications of Probability and Statistics II | ||
| Nonparametric Statistics | ||
| Regression Modeling & Analysis | ||
| Quality Control & Reliability | ||
| Time Series and Forecasting | ||
| Introduction to Applied Bayesian Analysis | ||
| Introduction to Statistical Learning | ||
| Independent Study | ||
| Total Hours | 12 | |
