This course focuses on building statistical models for professional research, including distribution assumptions, tests of hypotheses, confidence intervals, collinearity, outliers, transformations, general F test, analysis of variance, and multiple comparisons. Additional topics include generalized linear regression, best model selection, and the linear model approach to analysis of variance and analysis of covariance.
Corequisites
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