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Apr 29, 2024
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SOC 6510 - Intermediate Data Analysis
Introduction to fundamentals of multivariate analysis. Topics covered include simple linear and multiple regression, analysis of variance and covariance, and logistic regression.
Requisites:
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to describe and explain key concepts in inferential statistics, including sampling, probability, and hypothesis testing.
- Students will develop a basic understanding of how to carry out, interpret and explain multivariate analyses in explanatory research.
- Students will have the ability to perform the fundamentals of data management and descriptive data analysis.
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