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Probability & Statistics · Probability

Random Variables & Expectation

Turning uncertain outcomes into numbers: discrete random variables, probability distributions, expected value, variance and standard deviation, linearity of expectation, and using EV to judge bets, insurance and investments.

30 min · 6 steps · videoJump to quiz ↓
Lecture 9: Expectation, Indicator Random Variables, Linearity | Statistics 110 Harvard University · 50 min
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Step 1 of 6 · Overview30 min read ·
Key idea
Prereqs: Conditional probability. Next: Distributions: normal, binomial, Poisson & fat tails. Follows Khan Academy Statistics & Probability, Harvard Stat 110 (Joe Blitzstein), *Introduction to Probability* (Blitzstein & Hwang).
Next: 1. Definitions

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