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From |
William Bishop <wbishopco@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re: basic monte carlo simulation |

Date |
Fri, 20 Feb 2009 15:43:16 -0800 |

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 <martin.weiss1@gmx.de> 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" <wbishopco@gmail.com> > To: <statalist@hsphsun2.harvard.edu> > 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 >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ >> > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Re: basic monte carlo simulation***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**References**:**st: basic monte carlo simulation***From:*William Bishop <wbishopco@gmail.com>

**st: Re: basic monte carlo simulation***From:*"Martin Weiss" <martin.weiss1@gmx.de>

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