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.