STAT 440
Categorical Data Analysis Fall 2017
Division III Quantative/Formal Reasoning
This is not the current course catalog

Class Details

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: Format: lecture
Limit: 14
Expected: 12
Class#: 1743
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
Prerequisites: STAT 346 and STAT 360
Enrollment Preferences: seniors and Statistics Majors
Distributions: Division III Quantative/Formal Reasoning
Attributes: PHLH Statistics Courses

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