Re: Gaussian Distribution Using Dice

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ck,

Here is my solution but it doesn't do any graffing.
I think it is mathematically correct but it could be wrong.
I just wrote it real quick. It prints up something that
looks right to me.

include get.e

function sum( sequence s )
	atom a
	a = 0
	for i = 1 to length( s ) do
		a+= s[i]
	end for
	return a
end function

constant NumOfDice = 3
constant NumOfSides = 6

constant MaximumRoll = NumOfDice * NumOfSides

sequence chances, dice
chances = repeat( 0, MaximumRoll )
dice = repeat( 1, NumOfDice )

integer roll
for d = 1 to power( NumOfSides, NumOfDice ) do
	chances[sum(dice)] += 1
	dice[1]+=1
	for i = 1 to NumOfDice -1 do
		if dice[i] > NumOfSides then
			dice[i] = 1
			dice[i+1] += 1
		end if
	end for
end for


printf( 1, "The distobution of %d %d sided dice rolls:\n",
{NumOfDice,NumOfSides} )
puts( 1, "Value\tChance\n" )
for i = 1 to length( chances ) do
	printf(1, "%d\t%d\n", i&chances[i] )
end for
if wait_key() then end if


Below lies the signature of Lewis Townsend
Lewy T

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