STAT 425
Spring 2025 All Classes
Credit: 3 OR 4 hours.
This is the foundation for advanced statistical modeling with a focus on multiple strategies for analyzing data. The course explores linear regression, least squares estimates, F-tests, analysis of residuals, regression diagnostics, transformations, model building, generalized and weighted least squares, PCA, A/B testing, randomization tests, ANOVA, random effects, mixed effects, and longitudinal data. Statistical computing is an integral part of the course.
3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400; MATH 257 or MATH 415. Concurrent Enrollment in STAT 410 is preferred.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
72116
|
Lecture-Discussion
|
1GR
|
9:30AM
-10:50AM
|
TR
|
1002 Lincoln Hall
|
Zheng, L
|
|
|
|
72117
|
Lecture-Discussion
|
1UG
|
9:30AM
-10:50AM
|
TR
|
1002 Lincoln Hall
|
Zheng, L
|
|
|
|
72118
|
Lecture-Discussion
|
2GR
|
11:00AM
-12:20PM
|
TR
|
1002 Lincoln Hall
|
Zheng, L
|
|
|
|
72572
|
Lecture-Discussion
|
2UG
|
11:00AM
-12:20PM
|
TR
|
1002 Lincoln Hall
|
Zheng, L
|
|
|
|
72120
|
Lecture-Discussion
|
3GR
|
1:00PM
-1:50PM
|
MWF
|
112 Transportation Building
|
Jia, W
|
|
|
|
72121
|
Lecture-Discussion
|
3UG
|
1:00PM
-1:50PM
|
MWF
|
112 Transportation Building
|
Jia, W
|
|
|
|
61876
|
Lecture-Discussion
|
4GR
|
2:00PM
-2:50PM
|
MWF
|
1302 Everitt Laboratory
|
Jia, W
|
|
|
|
61877
|
Lecture-Discussion
|
4UG
|
2:00PM
-2:50PM
|
MWF
|
1302 Everitt Laboratory
|
Jia, W
|
|