STAT 440 Categorical Data Analysis (Q)

Last offered Spring 2014

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.
Class Format: lecture
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
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Prerequisites: STAT 201 and STAT 346
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Divisional Attributes: Division III, Quantitative and Formal Reasoning
Other Attributes: PHLH Statistics Courses
Enrollment Limit: 50
Expected Enrollment: 15
Class Number: 3688
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT 440 LEC Categorical Data Analysis (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Bernhard Klingenberg
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