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STATS 116

Theory of Probability

  • autumn
  • spring
  • summer
  • 2021-2022

4 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. Please note that students must enroll in one section in addition to the main lecture.

Fulfills

  • GER:DB-Math

  • WAY-FR

  • WAY-AQR

Course Prequisites

Sections

  • DIS

    • Friday 9:45:00 AM - 10:45:00 AM @ Sequoia Hall 200

    • Friday 9:45:00 AM - 10:45:00 AM @ McCullough 126

    • Friday 9:45:00 AM - 10:45:00 AM @ 200-219

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 9:45:00 AM - 10:45:00 AM @ 200-034 with Julia Palacios

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 11:00:00 AM - 12:00:00 PM @ Departmental Room with John Duchi

  • LEC

    • -

Grade Distribution

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