**The Law of Large Numbers says that in repeated, independent trials
with the same probability p of success in each trial, the percentage
of successes is increasingly likely to be close to the chance of success
as the number of trials increases. More precisely, the chance
that the percentage of successes differs from the probability p
by more than a fixed positive amount, e > 0, converges to zero as
the number of trials n goes to infinity, for every number e
> 0. Note that in contrast to the difference between the percentage
of successes and the probability of success, the difference between the
number of successes and the expected number of successes, n×p,
tends to grow as n grows.**