Quote:
Originally Posted by vsthakur
While comparing the CoinFlip experiment with the BinModel
a) Sample size of the individual Bin is equal to the number of coin flips (N=10)
b) Number of hypothesis is equal to number of coins (M=1000)
but, the aspect of repeating the entire coinflip experiment large number of times (100,000) does not have any counterpart with the (Single or Multiple) BinModel.
Is the purpose of repeating the coinflip experiment only to find the estimates of P[vmu>epsilon] without using the hoeffding inequality and then comparing it with the bound given by hoeffding ? Kindly clarify this point.
Thanks.

The purpose is to average out statistical fluctuations. In any given run, we may get unusual
's by coincidence, but by taking the average we can be confident that we captured the typical
values.