STAT 448
Summer 2014 Part of Term S2
Part of Term S2
(8 week) Jun 16-Aug 7
(8 week) Jun 16-Aug 7
Credit: 4 hours.
Several of the most widely used techniques of data analysis are discussed with an emphasis on statistical computing. Topics include linear regression, analysis of variance, generalized linear models, and analysis of categorical data. In addition, an introduction to data mining is provided considering classification, model building, decision trees, and cluster analysis.
Prerequisite: STAT 400 or STAT 409, and credit for or concurrent registration in STAT 410.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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37298
|
Lecture-Discussion
|
S1
|
1:00PM
-2:50PM
|
TWR
|
Foreign Languages Building
|
Glosemeyer, D
|
|