MA 481 - Probability and Statistics

Overview

Course Title

Probability and Statistics

Description

Axioms of probability, combinatorial methods, conditional probability, discrete and continuous random variables and distributions, binomial, Poisson, normal and exponential distributions, independent discrete random variables, Law of Large Numbers and the Central Limit Theorem, expectation, confidence intervals and test of hypotheses.

Typically Offered

Fall, Spring

Academic Career

Undergraduate

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

008154

Course Schedule

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