The number of successes in nn independent trials of a Bernoulli(p)\text{Bernoulli}(p) r.v., denoted as XBinomial(n,p)X\sim \text{Binomial}(n, p)

Its PDF is

p(xn,p)=(nx)px(1p)p(x|n,p)=\binom{n}{x}p^x(1-p)

Approximation

Poisson Distribution

When nn is large and npnp is of moderate size (perferably np7np\le 7), binomial distribution can be approximated by Poisson(np)\text{Poisson}(np)

Hypergeometric Distribution

If N>10,000N\gt 10,000 and n/N<1%n/N\lt 1\%, hypergeometric distribution can be approximated by binomial distribution.

Normal Distribution

De Moivre-Laplace theorem

Suppose Binomial(n,p)\text{Binomial}(n,p), when np(1p)>5np(1-p)\gt 5, normal distribution N(np,np(1p))\mathcal{N}(np, np(1-p)) provides a good approximation of Binomial(n,p)\text{Binomial}(n,p).