STAT 440
Categorical Data Analysis
Last Offered Spring 2024
Division III Quantitative/Formal Reasoning
This course is not offered in the current catalog

Class Details

This course focuses on methods for analyzing categorical response data. Traditional tools of statistical data analysis for continuous response data 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. The first part of the course will discuss statistical inference for parameters of categorical distributions and arising in contingency tables. The longer second part will focus on statistical modeling via generalized linear models for binary, multinomial, ordinal and count response variables, using maximum likelihood.
The Class: Format: lecture
Limit: 15
Expected: 12
Class#: 3527
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Class participation and performance on exams, homework, and a project.
Prerequisites: STAT 346 and STAT 360
Enrollment Preferences: seniors and statistics majors
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: Arguing with data.
Attributes: PHLH Statistics Courses

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