Central Limit Theorem
In short, the CLT states that the distribution of averages from any population sample (irrespective of the population distribution) will become normal as the sample size becomes large.
By taking the average of multiple MUD’s, this distribution will become normal with increasing numbers of MUD’s being averaged.