STAT 425
Fall 2023 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 | |
|---|---|---|---|---|---|---|---|---|
|
30956
|
Lecture-Discussion
|
1GR
|
1:00PM
-1:50PM
|
MWF
|
1090 Lincoln Hall
|
Simpson, D
|
|
|
|
52528
|
Lecture-Discussion
|
1UG
|
1:00PM
-1:50PM
|
MWF
|
1090 Lincoln Hall
|
Simpson, D
|
|
|
|
62204
|
Lecture-Discussion
|
2GR
|
12:00PM
-12:50PM
|
MWF
|
1090 Lincoln Hall
|
Simpson, D
|
|
|
|
62207
|
Lecture-Discussion
|
2UG
|
12:00PM
-12:50PM
|
MWF
|
1090 Lincoln Hall
|
Simpson, D
|
|
|
|
77279
|
Lecture-Discussion
|
3GR
|
12:30PM
-1:50PM
|
TR
|
1310 Digital Computer Laboratory
|
Chronopoulou, A
|
|
|
|
77280
|
Lecture-Discussion
|
3UG
|
12:30PM
-1:50PM
|
TR
|
1310 Digital Computer Laboratory
|
Chronopoulou, A
|
|
|
|
63340
|
Lecture-Discussion
|
4GR
|
4:00PM
-4:50PM
|
MWF
|
1002 Lincoln Hall
|
Narisetty, N
|
|
|
|
63341
|
Lecture-Discussion
|
4UG
|
4:00PM
-4:50PM
|
MWF
|
1002 Lincoln Hall
|
Narisetty, N
|
|