MATH 4710

Basic Probability

Course Description

Course information provided by the 2025-2026 Catalog.

An introduction to probability theory that prepares the student to take MATH 4720. The course begins with basics: combinatorial probability, mean and variance, independence, conditional probability, and Bayes formula. Density and distribution functions and their properties are introduced. The law of large numbers and central limit theorem are stated and their implications for statistics are discussed.

Prerequisites MATH 1110-MATH 1120, or equivalent.

Forbidden Overlaps BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110

Enrollment Priority Recommended prerequisite: MATH 1920, MATH 2220, or equivalent.

Distribution Requirements (MQL-AG, OPHLS-AG), (SMR-AS)

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

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