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STATS 116

Theory of Probability

  • autumn
  • spring
  • summer

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

Sections

  • DIS

    • -

    • -

    • -

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 10:30:00 AM - 11:20:00 AM @ 200-034 with David Donoho

  • DIS

    • -

    • Tuesday 1:30:00 PM - 2:50:00 PM @ School of Education 206

    • Wednesday 3:30:00 PM - 4:20:00 PM @ Gates B12

    • Thursday 3:00:00 PM - 4:20:00 PM @ 380-380X

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 10:30:00 AM - 11:20:00 AM @ 300-300 with Yumeng Zhang

Grade Distribution

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