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Fall 2013
May 02, 2024
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STT 525 - Categorical Data Analysis
Categorical Data Analysis. (425) ��Prerequisite: Statistical programming and consent of instructor. Introduction to the analysis of qualitative data. Basic methods of summary and inference for two and three way contingency tables; introduction to the generalized linear model for binary and Poisson data; focus on multinomial responses (nominal and ordinal) and matched pairs data; statistical analysis using SAS.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Mathematics & Statistics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
May not be assigned one of the following Student Attributes:     
      Online Accelerated Programs

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Release: 8.7.2.4