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Subject:
biased coin flip
Category: Science > Math Asked by: davidj-ga List Price: $2.00 |
Posted:
15 Sep 2004 08:39 PDT
Expires: 15 Oct 2004 08:39 PDT Question ID: 401522 |
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There is no answer at this time. |
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Subject:
Re: biased coin flip
From: sigfpe-ga on 15 Sep 2004 16:09 PDT |
Firstly let's make X a fraction rather than a percent so instead of 55% we say 0.55. The probability of getting N heads in T trials is T!/(N!(T-N)!) X^N (1-X)^(T-N) where ! is factorial (i.e. M!=Mx(M-1)x(M-2)...1). The probability of getting more heads than tails is the probability of getting all heads+prob. getting all but one head+...+prob. getting just more heads so you just sum the terms above for each N where N>T-N. I don't believe there is a simple formula for computing this, you just have to do the sum. It doesn't make sense to ask what the 'standard deviation' of getting more heads. Maybe you want the standard deviation of the number of heads. The mean number of heads is X*T The standard deviation number of heads is sqrt(X*(1-X)*T) Let's do the T=12 coin example with X=0.55 P(12 heads)=0.55^12=0.000766218 P(11 heads)=0.55^11*0.45*12!/11!=0.00752287 P(10 heads)=0.55^10*0.45^2*12!/(10!*2!)=0.0338529 P(9 heads)=0.55^9*0.45^3*12!/(9!*3!)=0.09232608 P(8 heads)=0.55^8*0.45^4*12!/(9!*4!)=0.16996393 P(7 heads)=0.55^7*0.45^5*12!(7!*5!)=0.222498 The sum of all these terms is 0.52693 |
Subject:
Re: biased coin flip
From: hedgie-ga on 14 Oct 2004 18:52 PDT |
Formula is given by Binomial Distribution. For $2, I am afraid, you will have to type into a search engine yourself. |
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