Directory of Classes
NOTE: Course information changes frequently. Please re-visit these pages periodically for the most recent and up-to-date information.

Spring 2020 Statistics UN2104 section 001
APPL CATEGORICAL DATA ANALYSIS

Call Number 46719
Day & Time
Location
MW 11:40am-12:55pm
603 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Ronald Neath
Type LECTURE
Method of Instruction Classroom
Course Description Prerequisites: STAT UN2103 is strongly recommended. Students without programming experience in R might find STAT UN2102 very helpful. This course covers statistical models amd methods for analyzing and drawing inferences for problems involving categofical data. The goals are familiarity and understanding of a substantial and integrated body of statistical methods that are used for such problems, experience in anlyzing data using these methods, and profficiency in communicating the results of such methods, and the ability to critically evaluate the use of such methods. Topics include binomial proportions, two-way and three-way contingency tables, logistic regression, log-linear models for large multi-way contingency tables, graphical methods. The statistical package R will be used.
Web Site Vergil
Department Statistics
Enrollment 29 students (60 max) as of 8:04AM Tuesday, April 7, 2020
Subject Statistics
Number UN2104
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, General Studies, Professional Studies
Campus Morningside
Section key 20201STAT2104W001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 04/07/20 08:04    web update 04/07/20 10:18