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Central Connecticut State University


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Fall 2017
Jan 21, 2018
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STAT 534 - Appld Catgorcl Data Analsis
Applied Categorical Data Analysis Fall. 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

Mathematics Department

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Release: 8.7.1