STAT 421(F) Introduction to Categorical Data Analysis (Q)
This course focuses on methods for the analysis of categorical response data. In contrast to continuous data, categorical data consists of observations classified in categories. For example, when asked about their preference for a brand-name product, respondents choose brands A or B, i.e., a binary response. When zoologists ask about the primary food choice of alligators, they classify the response into three categories: fish, invertebrate or fellow alligators/reptiles. Traditional tools of statistical data analysis are not design to handle such data and pose inappropriate assumptions. In this course, we will develop methods specifically designed to address the discrete nature of the observation, and consider applications to the social sciences, biological/medical sciences, and business. Format: lecture. Evaluation will be based on homework, exams and a final applied project. Prerequisites: Statistics 201 or Statistics 346 or permission of the instructor. No enrollment limit (expected: 15).