Formula sheet

Counting

nPr=n!(n−r)!,(nr)=n!r!(n−r)!._{n}P_{r} = \frac{n!}{(n - r)!},\quad\quad\binom{n}{r} = \frac{n!}{r!(n - r)!}.

Repeated arrangements=n!n1!n2!⋯nk!.\text{Repeated arrangements} = \frac{n!}{n_{1}!n_{2}!\cdots n_{k}!}.

Probability

P(A∪B)=P(A)+P(B)−P(A∩B).P(A \cup B) = P(A) + P(B) - P(A \cap B).

P(A∣B)=P(A∩B)P(B).P(A \mid B) = \frac{P(A \cap B)}{P(B)}.

P(B)=∑iP(B∣Ai)P(Ai).P(B) = \sum_{i}^{}P\left( B \mid A_{i} \right)P\left( A_{i} \right).

P(Aj∣B)=P(B∣Aj)P(Aj)∑iP(B∣Ai)P(Ai).P\left( A_{j} \mid B \right) = \frac{P\left( B \mid A_{j} \right)P\left( A_{j} \right)}{\sum_{i}^{}P\left( B \mid A_{i} \right)P\left( A_{i} \right)}.

Expectation and Variance

Var(X)=E(X2)−[E(X)]2.Var(X) = E\left( X^{2} \right) - \left\lbrack E(X) \right\rbrack^{2}.

Var(X+Y)=Var(X)+Var(Y)+2Cov(X,Y).Var(X + Y) = Var(X) + Var(Y) + 2Cov(X,Y).

Distribution Summary

Distribution Support Mean Variance
Bernoulli(p)(p) 0,10,1 pp p(1−p)p(1 - p)
Binomial(n,p)(n,p) 0,…,n0,\ldots,n npnp np(1−p)np(1 - p)
Geometric(p)(p), trial count 1,2,…1,2,\ldots 1/p1/p (1−p)/p2(1 - p)/p^{2}
Negative binomial(r,p)(r,p), trial count r,r+1,…r,r + 1,\ldots r/pr/p r(1−p)/p2r(1 - p)/p^{2}
Poisson(λ)(\lambda) 0,1,…0,1,\ldots λ\lambda λ\lambda
Hypergeometric(N,K,n)(N,K,n) finite integer range nK/NnK/N np(1−p)(N−n)/(N−1)np(1 - p)(N - n)/(N - 1)
Uniform(a,b)(a,b) a≤x≤ba \leq x \leq b (a+b)/2(a + b)/2 (b−a)2/12(b - a)^{2}/12
Normal(μ,σ2)\left( \mu,\sigma^{2} \right) ℝ\mathbb{R} μ\mu σ2\sigma^{2}
Gamma(α,β)(\alpha,\beta), rate form x>0x > 0 α/β\alpha/\beta α/β2\alpha/\beta^{2}
Chi-square(ν)(\nu) x>0x > 0 ν\nu 2ν2\nu