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Old 07-27-2012, 09:30 PM
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yaser yaser is offline
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Location: Pasadena, California, USA
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Default Re: Exercise 1.10

Originally Posted by vsthakur View Post
While comparing the Coin-Flip experiment with the Bin-Model
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 coin-flip experiment large number of times (100,000) does not have any counterpart with the (Single or Multiple) Bin-Model.

Is the purpose of repeating the coin-flip experiment only to find the estimates of P[|v-mu|>epsilon] without using the hoeffding inequality and then comparing it with the bound given by hoeffding ? Kindly clarify this point.

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