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There are also MANY sites devoted to this topic on the web, including sites
with simulations.
For example:
http://www.rdrop.com/~half/Creations/Puzzles/LetsMakeADeal/monty.hall.applet.html
BTW, I found these by google-searching for "Monty Hall applet". It is
amazing how much useful stuff you find when you add the word "applet" to
your search string.
________________________________________
From: phys-l-bounces@carnot.physics.buffalo.edu [
phys-l-bounces@carnot.physics.buffalo.edu] on behalf of Brian Blais [
bblais@bryant.edu]
Sent: Wednesday, January 05, 2011 5:49 AM
To: Forum for Physics Educators
Subject: Re: [Phys-l] "Ask Marilyn"
On Jan 5, 2011, at 12:09 AM, William Robertson wrote:
The following is from Wikipedia, regarding a puzzle that was answered
by Marilyn. I'm not seeing the advantage of switching choices, because
once you have new information, a new choice is made, which seems to me
to be 50-50.
The very best way I've found of convincing yourself that the 2/3 answer is
the correct one is to write a simple computer program to simulate the
system. I remember doing that in college, when I wasn't convinced, and I
never finished the program because the result became so obvious somewhere
between 1/2 to 2/3 through writing it. :)
The key thing here is to realize, in the simulation, is the following:
* say the prize is behind door 2 (you can repeat this logic with the other
possibilities later)
* you're asked for a door, and you choose 1
* the game show host is constrained - he must open an empty door, and he
must not open your door (empty or not)
* the host, in this case, **must** open door 3 - given his
information, his choice provides you with a little
* you can then re-guess
if you make a simulation of this, you'll see quickly what the right answer
is. it's very easy to convince yourself of *either* answer from various
manipulations of the probabilities. A simulation can be a bit more
intuitive here.
Although it is pretty simple, a python simulation of this can be found on
my blog, here:
http://bblais.blogspot.com/2009/09/probability-problems-and-simulation.html
bb
--
Brian Blais
bblais@bryant.edu
http://web.bryant.edu/~bblais
http://bblais.blogspot.com/
_______________________________________________
Forum for Physics Educators
Phys-l@carnot.physics.buffalo.edu
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_______________________________________________
Forum for Physics Educators
Phys-l@carnot.physics.buffalo.edu
https://carnot.physics.buffalo.edu/mailman/listinfo/phys-l