STAT 341 Analysis of Categorical Data
This course covers the fundamental to intermediate ideas of the statistical analysis of categorical data. The course builds on the ideas of hypothesis testing learned in STAT201 (Statistics I). The focus is on learning new statistical skills and concepts for real-world applications. Students will use statistical software to do the analyses. Topics include analysis of 2x2 tables, stratified categorical analyses, estimation of odds ratios, analysis of general two-way and three-way tables, probit analysis, and analysis of loglinear models. Completion of STAT201 (Statistics I) is a prerequisite.
Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
Prerequisites
Special information
4 Undergraduate credits
Effective May 9, 2011 to present
Learning outcomes
General
- Summarize the analysis of statistical models when applied to specified data sets.
- Select among different categorical analysis models for hypothesis testing, including data production design.
- Develop advanced statistical models and hypothesis testing techniques such as the analysis of 2x2 tables, stratified categorical analyses, estimation of odds ratios, analysis of general two- and three-way tables, probit analysis and analysis of loglinear models.
- Apply statistical principles and methods for the analysis of categorical data.
Fall 2025
| Section | Title | Instructor | books | eservices |
|---|---|---|---|---|
| 01 | Analysis of Categorical Data | Jacobson, David Willia | Books for STAT-341-01 Fall 2025 | Course details for STAT-341-01 Fall 2025 |
| 50 | Analysis of Categorical Data | Jacobson, David Willia | Books for STAT-341-50 Fall 2025 | Course details for STAT-341-50 Fall 2025 |