Geometric distribution problem

AI Thread Summary
The discussion revolves around calculating the probability of Tom winning a coin toss game involving three players: Tom, Harry, and Dick. Participants clarify that the game follows a geometric distribution, where the probability of success (getting heads) is 0.5. The formula discussed is p(q)^(n-1), where p is the probability of winning, q is the probability of losing, and n represents the number of trials. The key challenge is determining how to sum the probabilities for all scenarios where Tom wins. The conversation emphasizes the need to correctly apply the geometric distribution formula to solve the problem.
danniim
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Can anyone solve this for me? I think it is geometric distribution.

Tom, Dick and Harry play .the following game. They toss a fair coin in
turns. First Tom tosses, then Harry, then Dick, then Tom again and so on
until one of them gets a Head and so becomes the winner. What is the
probability that Tom wins?
 
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Welcome to PF!

Hi danniim! Welcome to PF! :wink:

Show us what you've tried, and where you're stuck, and then we'll know how to help! :smile:
 
Hi tiny-tim,

Okay well my main problem is that I don't know what formula to use.

I thought you would use p(q)^x-1 where p is the probability of success(0.5) and q is the probability of failing (0.5), x is supposed to be the number of trials ie the number of times the coin is tossed but this is not given. This leaves me with the following:

0.5(0.5)^x-1 = ?... two unknowns.

So clearly I am not understanding something in the question.
 
danniim said:
I thought you would use p(q)^x-1 where p is the probability of success(0.5) and q is the probability of failing (0.5), x is supposed to be the number of trials ie the number of times the coin is tossed …

Hi danniim! :smile:

(use n, not x, for numbers, and try using the X2 tag just above the Reply box :wink:)

Yes, you use pqn-1 for the probability of the game finishing on the nth toss.

Now add up for all the n's that make Tom the winner. :wink:
 
Thanks! :)
 
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