STAT 425
Spring 2022 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
|
3GR
|
9:30AM
-10:50AM
|
TR
|
1002 Lincoln Hall
|
Chronopoulou, A
|
|
|
|
72117
|
Lecture-Discussion
|
3UG
|
9:30AM
-10:50AM
|
TR
|
1002 Lincoln Hall
|
Chronopoulou, A
|
|
|
|
72118
|
Lecture-Discussion
|
4GR
|
2:00PM
-3:20PM
|
TR
|
1002 Lincoln Hall
|
Park, T
|
|
|
|
72572
|
Lecture-Discussion
|
4UG
|
2:00PM
-3:20PM
|
TR
|
1002 Lincoln Hall
|
Park, T
|
|
|
|
72120
|
Online
|
OGR
|
ARRANGED
|
n.a.
|
n.a.
|
Simpson, D
|
|
|
|
72121
|
Online
|
OUG
|
ARRANGED
|
n.a.
|
n.a.
|
Simpson, D
|
|