Expected variance of subset of population

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SUMMARY

The discussion centers on calculating the expected variance of a randomly selected subset Y of a population X, where Y consists of n-1 elements derived from X. It is established that the expected variance of Y is indeed less than the variance of X. The participants suggest two approaches to prove this: one involves manipulating the sums of the elements, while the other utilizes the law of total variance as a simpler method for demonstration.

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ll777
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I want to calculate expected variance of a randomly selected subset of a population.

The particular problem I am trying to solve is as follows. There is a set of values X = {x1, ... , xn}. Let Y be subset of X with n-1 elements. I think that if Y is selected at random (that is, if is produced by randomly removing an element of X), the expected variance of Y is less than the variance of X. Is this right and if so is there a simply proof?
 
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A hard way: write sum(Y)=sum(X)-xj etc.

An easy way: The law of total variance.
 

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