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#23 | |
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Romulan Interpreter
"name field"
Jun 2011
Thailand
41×251 Posts |
Quote:
(of course, few games will take longer, on both sides, but anything between 8 and n throws can end any of the games, grrrr..., which looks like an almost fifty-fifty chance... I think that without simulation, I would have taken your bet with $1.5 and lose my shirt...)With 1.95 and 1.96 to 1, in fact, the game will be "almost" pure luck ("almost" means that the "pure luck" is in my advantage for 1.96, hehe, as I consider myself a lucky guy) - with 1.97 I can make money , and with 1.94 I will lose money.Another version: I accept your 1.5 to 1, but you have to pay me x every time we draw. How much should x be? I would be quite happy with anything more than 4.15... As I said, probability theory is a bitch... |
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#24 |
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Jun 2003
23·683 Posts |
A question about interpretation. Will the first move be done at t=0 or t=60? With the latter interpretation, I get 4 solutions (i.e. round( expected # of steps * 60) = 2569). With the former, the closest I get is 2571, again 4 of them (i.e. round ( (expected-1)*60 ) = 2571).
This is assuming my fugly, recursive, memoized monstrosity of PARI script was correct. |
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#25 | |
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Feb 2018
2 Posts |
Quote:
Assuming your computations are correct, the interpretation has to be t_0 = 60, right? Now, knowing that a star is up for grabs, give it some extra thought. |
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#27 |
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Romulan Interpreter
"name field"
Jun 2011
Thailand
41·251 Posts |
Haha, no way to take that star, in a million years... (speaking in my name only)
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#28 |
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Oct 2017
2·73 Posts |
My way was a little different, because I didn’t knowthe “coupon collector’s problem”.
I have found the following formula for the probabilityof „a dice with n faces had all outcomes after i throws” in an old schoolbook: p(n,i) = sum (k=0 to n-1) {(-1)^k*(n choose k)*(n-k)^i}/n^i This formula holds for i = 0,1,…,n-1, too. Then p=0. The probability of „three dices with n_1, n_2, n_3faces had all outcomes after i throws” is P(i) := p(n_1,i)* p(n_2,i)* p(n_3,i) For the computation of the expected time we need theprobability Q of „three dices with n_1, n_2, n_3 faces had all outcomes at throwi (and not before!)”: Q(i) = P(i) – P(i-1) The expected time is <t> = 60*Q(1) + 120*Q(2) + 180*Q(3) + … (withthe parameters n_1, n_2, n_3) I have taken into account 200 throws for seeing a sortof convergence… |
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