Dec 21, 2024  
2021-2022 University Catalog 
    
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2021-2022 University Catalog [ARCHIVED CATALOG]

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MATH 439 - Intermediate Data Analysis (3)

Simple and multiple linear regression, testing hypotheses, dummy variables, ANOVA, ANCOVA, confounding and interaction, diagnostics, influence and outliers, transformation and weighting and model selection. Introductory nonlinear and logistic regression. SAS statistical software will be used.

Prerequisite: MATH 250B  or MATH 270B  with a C (2.0) or better; MATH 338 with a C (2.0) or better; or graduate standing.

400-level Undergraduate Course available for Graduate Credit


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