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It sounds like you want a specific answer to a general question. I'd say this is covered by the law of large numberslaw of large numbers, but if you want a more specific study, I'd look at guassianGaussian convolution operations. It is easy to demonstrate that the average value of the sum of a number of similar gaussianGaussian curves trends quickly to a delta function with a vanishing stddevstandard deviation.

For theorems that "state the importance of random sampling", I would look more at various hypothesis testing procedures to quantify that uncertainty.

It sounds like you want a specific answer to a general question. I'd say this is covered by the law of large numbers, but if you want a more specific study, I'd look at guassian convolution operations. It is easy to demonstrate that the average value of the sum of a number of similar gaussian curves trends quickly to a delta function with a vanishing stddev.

For theorems that "state the importance of random sampling", I would look more at various hypothesis testing procedures to quantify that uncertainty.

It sounds like you want a specific answer to a general question. I'd say this is covered by the law of large numbers, but if you want a more specific study, I'd look at Gaussian convolution operations. It is easy to demonstrate that the average value of the sum of a number of similar Gaussian curves trends quickly to a delta function with a vanishing standard deviation.

For theorems that "state the importance of random sampling", I would look more at various hypothesis testing procedures to quantify that uncertainty.

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It sounds like you want a specific answer to a general question. I'd say this is covered by the law of large numbers, but if you want a more specific study, I'd look at guassian convolution operations. It is easy to demonstrate that the average value of the sum of a number of similar gaussian curves trends quickly to a delta function with a vanishing stddev.

For theorems that "state the importance of random sampling", I would look more at various hypothesis testing procedures to quantify that uncertainty.