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DSAN 721 - Applied Statistical Method

Explore and successfully apply linear statistical models, including analysis of variance, general linear models, multiple comparison procedures, non-parametric tests, principal component analysis, multiple linear regression, logistic regression, and time series. Emphasis will be given to model fitting, statistical hypotheses testing, and stressing on assumption testing. Selected non-parametric hypotheses tests, counterparts to analysis of variance, and multiple comparisons will be examined. Typically Offered Fall, Spring, Summer.
Level: GR
Credit Hours: 3

Ferris Equivalencies:

Department: MKTG


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