Starkes Gesetz der großen Zahlen

Let XiX_i be a sequence of independent identically distributed Random Variables with finite Expectation then we have:

P(limnXˉ(n)=μ)=1\mathbb{P}\left(\lim _{n \rightarrow \infty} \bar{X}_{(n)}=\mu\right)=1

for nn \to \infty p-fast sichere Konvergenz

in other words, if we have a sequence of random variables, their Arithmetic Mean will converge to the Expectation with a probability of 11 as nn goes to infinity.