EdusalsaDiscover Your Stanford

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

    • -

    • 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

  • LEC

    • Monday Tuesday Wednesday Thursday Friday 9:30:00 AM - 10:20:00 AM

Grade Distribution

Sign Up

To save STATS 116 to your course bucketlist

Already Have An Account? Log In