STAT 440 - Categorical Data Analysis

Institution:

Williams College

Subject:

Statistics

Description:

This course focuses on methods for analyzing categorical response data. In contrast to continuous data, categorical data consist of observations classified into two or more categories. Traditional tools of statistical data analysis 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 applications to the social sciences (e.g., is there a gender difference in the belief in life after death) the biological/medical sciences (e.g., does the probability of a severe side effects increase with the dosage of a drug) and economics. All methods are extensions of traditional ANOVA and regression models to categorical data.

Credits:

3.00

Credit Hours:

Prerequisites:

Statistics 201 and Statistics 346

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.williams.edu

Phone Number:

(413) 597-3131

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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