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Given that the chance of success on an attempt is $11/30$, what is the chance of more than $m$ failures? I think I should consider the complement of the statement, but I am stuck at this point.

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    @ espen180 yes indeed2012-11-20

2 Answers 2

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We are concidering each trial to be independent. Then this is an example of a negative binomial distribution. See http://en.wikipedia.org/wiki/Negative_binomial_distribution

Let $p$ be the probability of success. Then the probability of getting exactly $k$ failures before the first success is given by $P_k = (1-p)^k p$, the probability of $k$ failures and one success. Now, we want the total probability for all $k>m$. This is

$P=\sum_{k=m+1}^{\infty} (1-p)^k p$

Do you see why this is? Can you now evaluate the probability?

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    @ espen180 okey, thank you very much2012-11-20
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To have more than $m$ failures before the first success, you need to start with $m+1$ failures, and if the probability of success is $p$ and each failure is independnet of the others, the probability is $(1-p)^{m+1}.$

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    @ Henry okey, now I understand. Thanks2012-11-20