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Old December 17th, 2008, 02:53 PM
meymathis meymathis is offline
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Let X be a random variable with distribution \chi^2_{15}. A success is when X>8.547. Now repeat 15 times (each trial is independent), denoting the i^{th} trial as X_i.

\mathrm{P}(X_i>8.547) (i.e. the probabilities of success) are constant with respect to i. In other words, you have 15 independent trials, success is constant (p=\mathrm{P}(X>8.547)), and you are asked what is the probability of at least 2 successes. This smells like a binomial distribution if you let N be the number of successes.

You use the \chi^2_{15} distribution only to calculate p.

p=\mathrm{P}(X>8.547)=0.10 (from \chi^2 table)

\mathrm{P}(N>=2)=1-\mathrm{P}(N\leq 1)=1-\mathrm{P}(N= 0)-\mathrm{P}(N= 1)=\ldots

Make sense?
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