STAT 425
Summer 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 | |
|---|---|---|---|---|---|---|---|---|
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41012
|
Online
|
OGR
|
ARRANGED
|
n.a.
|
n.a.
|
Bravo De Guenni, L
|
|
|
|
41013
|
Online
|
OUG
|
ARRANGED
|
n.a.
|
n.a.
|
Bravo De Guenni, L
|
|