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STATS 116

Theory of Probability

  • Not Offered

3 - 5 units

Letter or Credit/No Credit

Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem. Prerequisites: MATH 52 and familiarity with infinite series, or equivalent.

Fulfills

  • GER:DB-Math

  • WAY-FR

  • WAY-AQR

Course Prequisites

Grade Distribution

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