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Course outline

Chapter 1: Probability

Random Variables

Discrete and continuous random variables, expectation and variance.

Expectation

For a discrete random variable, E[X]=∑xx P(X=x)\mathbb{E}[X] = \sum_x x \, P(X = x).

Variance

Var⁡(X)=E[(X−E[X])2]=E[X2]−E[X]2.\operatorname{Var}(X) = \mathbb{E}\big[(X - \mathbb{E}[X])^2\big] = \mathbb{E}[X^2] - \mathbb{E}[X]^2.

Common distributions

DistributionMeanVariance
Bernoulli(p)(p)ppp(1−p)p(1-p)
Binomial(n,p)(n, p)npnpnp(1−p)np(1-p)
Normal(μ,σ2)(\mu, \sigma^2)μ\muσ2\sigma^2