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|STAT 534 - Appld Catgorcl Data Analsis|
Applied Categorical Data Analysis
Prereq.: STAT 201 or STAT 216, or equivalent, or permission
of department chair.
Introduction to analysis and interpretation of categorical
data using analysis of variance or regression analogs.
Topics may include contingency tables, generalized linear
models, logistic regression, log-linear models, models
for matched pairs, and modeling correlated and clustered
responses; use of computer software such as SAS and R.
3.000 Credit hours
3.000 Lecture hours
Schedule Types: Hybrid: Online/On-Ground Combo, Independent Study, Lecture, Online Instruction
Must be enrolled in one of the following Levels:
Graduate level STAT 201 Minimum Grade of C or Undergraduate level STAT 201 Minimum Grade of D- or Graduate level STAT 216 Minimum Grade of C or Undergraduate level STAT 216 Minimum Grade of D-
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