Let (Ω,F,P)(\Omega,\mathcal F,\mathbb P) be a . The probability of an event AFA\in\mathcal F is the number P(A)[0,1]\mathbb P(A)\in[0,1].

Remarks

Because events are and P\mathbb P is a , event probabilities are countably additive on pairwise disjoint events, with P()=0\mathbb P(\varnothing)=0 and P(Ω)=1\mathbb P(\Omega)=1.

Examples
  • In a fair coin-toss space, the event A={H}A=\{H\} has probability P(A)=1/2\mathbb P(A)=1/2.
  • Under the uniform probability measure on [0,1][0,1], the event A=[0,1/2]A=[0,1/2] has probability P(A)=1/2\mathbb P(A)=1/2.