STAT 440
Categorical Data Analysis Fall 2017 Division III; Quantative/Formal Reasoning;
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This course focuses on methods for analyzing categorical response data. In contrast to continuous data, categorical data consist of observations classified into two or more categories. Traditional tools of statistical data analysis are not designed to handle such data and pose inappropriate assumptions. We will develop methods specifically designed to address the discrete nature of the observations and consider many applications in the social and biological sciences as well as in medicine, engineering and economics. All methods can be viewed as extensions of traditional regression models and ANOVA.
The Class: Type: lecture
Limit: 14
Expected: 12
Class#: 1743
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
Prerequisites: STAT 346 and STAT 360
Enrollment Preference: seniors and Statistics Majors
Distributions: Division III; Quantative/Formal Reasoning;
Attributes: PHLH Statistics Courses;

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