Laws that describe the way in which the sample mean approaches the population mean as the sample size increases. The phrase is due to Poisson, who, in 1835, referred to ‘La loi des grands nombres’. The weak law of large numbers states that if X1, X2,…, Xn are a set of independent identically distributed random variables, each with expected value μ, and if then, for every positive ε,
An equivalent statement is that![laws of large numbers](Images/oree/doc/10.1093/acref/9780199679188.001.0001/acref-9780199679188-math-0326-full.gif)
The strong law of large numbers states that, for every positive δ, it is always possible to find positive values ε and N such that![laws of large numbers](Images/oree/doc/10.1093/acref/9780199679188.001.0001/acref-9780199679188-math-0327-full.gif)
An equivalent statement is that![laws of large numbers](Images/oree/doc/10.1093/acref/9780199679188.001.0001/acref-9780199679188-math-0328-full.gif)
http://vis.supstat.com/2013/04/law-of-large-numbers/ Animation.