The term you are looking for is Weighted Random Numbers, most of the algorithms I have seen use trig functions, but I think I figured out a way that will be efficient:
Create a table/array/List(whatever) that holds a multiplier value for the random function. Fill it out by hand or programatically...
randMulti= {.1,.1,.1,.1,.1,.1,.2,.2,.3,.3,.9,1,1,1,} ...then Multiply random by a randomly chosen randMultiand finally by the max Value of the distribution...
weightedRandom = math.random()*randMulti[Math.random(randMulti.length)]*maxValue I do believe that this will be much faster than using sqrt, or other more computationally complex functions, and will allow for more custom grouping patterns.
