Geometric Distribution Question

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SUMMARY

The discussion centers on calculating the probability of achieving success on the third trial of an experiment involving tossing three fair coins, where success is defined as all coins showing heads. The probability of getting heads on a fair coin is 1/2, leading to a success probability of 1/8 for three heads. The user, James, correctly applies the geometric distribution formula, p(x) = θ(1-θ)^(x-1), to find that p(3) = 0.095703125. The calculations and methodology are confirmed as accurate by another forum participant.

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Homework Statement



An experiment consistion of tossing three fair coins is performed repeatedly and "success" is when all three show a head.

What is the probability that the success is on the third performance of the experiment?

Homework Equations



Geometric distribution equation

p(x) = \theta(1-\theta)\stackrel{(x-1)}{}

where \theta is the probability of success

The Attempt at a Solution



The probability of getting heads on a fair coin is 1/2

so the probability of 3 heads is 1/8 which is \theta

I'm assuming the third trial is when x=3 so

p(3) = (1/8)*(1-(1/8))^2

p(3) = 0.095703125...Am I correct in my working/method for this question?

Many thanks

James
 
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Looks fine to me!
 
Cheers! I know the actualy calculation is done right. Just wasn't completely sure if I'd used the right method.

I stupidly left the notes I did for the question at University and I'm revising now at home so can't check over them.
 

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