FPY 501 - Statistical Analysis II

Units: 3
When Offered: Spring
This course introduces graduate students to multivariate statistics, overview of univariate and bivariate statistics, screening of data including issues of normality, linearity, homoscedasticity, multiple regression, canonical correlations, analysis of covariance, multiple analysis of variance and covariance, profile analysis, logistic regression, principle components and factor analysis, and introduction to structural equation modeling.
Grade Type: Letter Grade
Prerequisite(s): FPY 500