little problem(s) 2022.09
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09-26-2022, 07:09 PM
Post: #1
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little problem(s) 2022.09
#1
Given a not fair coin, where heads shows up 60% of the time, and 50 coin tosses , what is the probability to get at least 5 tails in a row ? What about "exactly 5" ? #2 Practically generalize #1. Given a probability P of success (getting tails, heads or what have you) and N repetitions, what is the probability that we get a streak of at least S successes in N repetitions? Of course approximations based on programs are welcomed. Wikis are great, Contribute :) |
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09-27-2022, 08:10 PM
(This post was last modified: 09-27-2022 08:18 PM by ijabbott.)
Post: #2
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RE: little problem(s) 2022.09
Using a bit of educated guesswork for #2 ...
To determine the probability of a run of exactly S successes in a run of N trials, determine the probability of a run of at least S+1 consecutive successes in a run of N trials and subtract from the probability of a run of at least S consecutive successes in a run of N trials. — Ian Abbott |
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09-27-2022, 09:03 PM
Post: #3
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RE: little problem(s) 2022.09 | |||
09-28-2022, 01:55 PM
Post: #4
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RE: little problem(s) 2022.09
Recursive formula for obtaining k consecutive heads from n coin tosses
50 coin tosses, runs of 5 tails or more. Probability of tails = 1 - 0.6 = 0.4 >>> k, N = 5, 50 >>> p, P = 0.4, [0]*(N+1) >>> P[k] = p**k >>> for n in range(k+1,N+1): P[n] = P[n-1] + (1-P[n-k-1])*(1-p)*p**k ... >>> P[N] 0.25645932207797717 Confirmed by simulations: >>> from random import random >>> pat = lambda: ''.join("HT"[random()<=p] for x in range(N)) >>> sum('TTTTT' in pat() for i in range(10**6)) 256541 Real life is clumpy The inherent clumpiness of randomness The Longest Run of Heads - Mark F. Schilling |
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09-29-2022, 07:39 AM
Post: #5
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RE: little problem(s) 2022.09
(09-27-2022 09:03 PM)David Hayden Wrote:(09-27-2022 08:10 PM)ijabbott Wrote: Probability of no run of S consecutive successes in a run of N trials = \(\begin{cases} \frac{1-P^S}{N-S+1} & S<=N \\Shouldn't that be \((1-P^S)^{N-S-1}\)? You are probably correct about it being an exponential, but if so it would be \((1-P^S)^{N-S+1}\), otherwise the \(N=S\) case would be wrong. I'm not sure if the \(N-S+1\) sets of \(S\) can be treated as independent events. They overlap, but their constituent parts are random, so I am thinking that the overlap does not matter. It is possible to work out exact probabilities for given values of N, S and P by other means to see if the formula works. I don't have time to do that right now. — Ian Abbott |
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