Course description (from the graduate bulletin): A priory and empirical probabilities; mean and standard deviation; random variables; financial distributions; continuous distributions; sampling; estimation; decision making.
Prerequisite: No formal prerequisite. But familiarity with proofs and abstract reasoning similar to the material coverd in MAT 511 is expected. A knowledge
of integral calculus is a plus, too.
Class meetings: Mon Wed at 3:50pm-5:10pm in Math 4130
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