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FactChecker said:Do you mean the sample variance of the sample distribution of a large number of measurement data, or the variance of the sample average? Wouldn't the Central Limit Theorem apply to the average and give it a small variance as the sample size grows?
For infinite set of measurement x data collected from infinite independent labs where scientists do single time measurement for equally prepared systems, x^n averages are $$<x^n>=\int \psi^+ x^n \psi dx$$
with
$$\int \psi^+\psi dx=1$$
I expect there exists such ##\psi##.
Does it answer your question?
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