STA 350Categorical Data Analysis

Grinnell College · 4 credits · UGRD

Catalog

Categorical Data Analysis. This course is intended to serve as an introduction to topics associated with categorical data analysis. This includes an introduction to various study designs, a number of distributions and tests commonly used for statistical inference, the analysis of contingency tables, and a comprehensive exploration of logistic regression and generalized linear models (GLMs). Data from a variety of disciplines will provide context for these topics, with a special emphasis on using the R language for analyses. Prerequisite: STA-335 or MAT-335.

Recent sections

Fall 2026 · 1 section

Aug 27 – Dec 18

Section	Days & time	Location	Instructor
01Class #98733-STA-350-01	Monday, Wednesday, Friday 11:00 AM - 11:50 AM Noyce Science Ctr 2401 (Lecture)	Noyce Science Ctr 2401	Collin Nolte
01 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.