STAT 500 - Applied Regression and Analysis of Variance

Institution:
University of Pennsylvania
Subject:
Description:
Rosenbaum. Prerequisite(s): STAT 102 or 112 or equivalent. An applied graduate level course in multiple regression and analysis of variance for students who have completed an undergraduate course in basic statistical methods. Emphasis is on practical methods of data analysis and their interpretation. Covers model building, general linear hypothesis, residual analysis, leverage and influence, one-way anova, two-way anova, factorial anova. Primarily for doctoral students in the managerial, behavioral, social and health sciences.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(215) 898-5000
Regional Accreditation:
Middle States Association of Colleges and Schools
Calendar System:
Semester

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