 | Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course. |
| STAT 43000 - Applied Statistics |
|---|
|
Associated Term:
Spring 2024
Learning Outcomes: 1. Estimate the parameters and fit simple and multiple regression models. 2. Become familiar with several model checking and model selection criteria. 3. Fit a logistic regression model and Poisson regression model. 4. Perform one-way and two-way analysis of variance. 5. Analyze the categorical data. 6. Become familiar with the elements of survival analysis and nonparametric statistical methods. Required Materials: Technical Requirements: |
| Return to Previous | New Search |
 |