University of Florida 3 credits Statistics
Introduction to analysis of variance: sampling distributions; central limit theorem; estimation; properties of point estimators; confidence intervals; hypothesis testing; common large sample tests; normal theory small sample tests; uniformly most powerful and likelihood ratio tests; linear models and least squares; correlation. Prerequisite: STA 4321 with a minimum grade of C+.
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