Inverted Bell Curve
- From: "Tasci" <google@xxxxxxxxxxxxxxx>
- Date: 30 May 2006 14:16:29 -0700
I'm clear on the fact that the sum of a random sampling from a range of
numbers say, 0 to 4, will distribute itself in the form of the bell
curve. That is, taking more numbers per sample increases the
likelihood of their sum being near the middle. Is there a different
function or relation besides 'sum' that I could use to set up a
situation where the extremes of 0 and 4 have the highest probability,
and the center has the lowest chance of being hit? I want to make it
in this example so that the probability of getting 0 or 4 is very high,
and the probability of getting 2 is very low.
Standard bell curve;
____#____
____#____
__#_#_#__
#_#_#_#_#
0_1_2_3_4
What I w ant:
#_______#
#_______#
#_#___#_#
#_#_#_#_#
0_1_2_3_4
.
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