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Re: st: Re: basic monte carlo simulation
<>
I hope you forgive me for not knowing what "non-transitive" means? My guess
from your example is something like heavily biased? Still, -simulate- is not
yet necessary...
***********
clear*
set obs 10000
g firstdice=cond(runiform()<`=1/6', 1,4)
prop first
***********
HTH
Martin
_______________________
----- Original Message -----
From: "William Bishop" <[email protected]>
To: <[email protected]>
Sent: Saturday, February 21, 2009 12:43 AM
Subject: Re: st: Re: basic monte carlo simulation
Thanks Martin.
What if the dice were non-transitive? Is that where -simulate- comes
into play in order to generate the roll outcomes?
Say something like:
Dice 1: 1, 4, 4, 4, 4, 4
so 4 is 5/6 and 1 is 1/6
Rick
On Fri, Feb 20, 2009 at 3:17 PM, Martin Weiss <[email protected]>
wrote:
<>
Normally, one would use -simulate- but this is more easily accomplished
as
********* clear*
set obs 10000
g firstdice=1+int(6*runiform())
g seconddice=1+int(6*runiform())
g sumofdice=firstdice+seconddice
*let`s see whether CIs conform to our idea of unbiased dice
prop sum
**********
where you can edit the obs to the # of replications you want...
HTH
Martin _______________________
----- Original Message ----- From: "William Bishop" <[email protected]>
To: <[email protected]>
Sent: Saturday, February 21, 2009 12:08 AM
Subject: st: basic monte carlo simulation
Trying to create a monte carlo simulation for throwing a pair of dice
with 6-sides, numbered 1-6 (each side equally likely, thus 1/6). So
there are 36 combinations of dice rolls and the sum will always be
between 2 (1 and 1) and 12 (6 and 6).
With a large number of simulations, we should get the probabilities of:
2: 1/36 = 0.02778
3: 2/36 = 0.05556
4: 3/36 = 0.08333
5: 4/36 = 0.11111
6: 5/36 = 0.13889
7: 6/36 = 0.16667
8: 5/36 = 0.13889
9: 4/36 = 0.11111
10: 3/36 = 0.08333
11: 2/36 = 0.05556
12: 1/36 = 0.02778
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