Why only a single sample is considered ?
As far as I understood CLT expects us to have several samples collected.
In the above example, we are only looking into a single sample's data and applying the CLT, why ?
Should we not collect several samples, then take their means and only after that work with those means (distribution of means of samples) ?
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