I have what I think is probably a basic question from probability and statistics (about which I'm pretty ignorant).(adsbygoogle = window.adsbygoogle || []).push({});

If I have a set of projectile trajectories that were generated by a Monte Carlo process, and I'd like to know the probability the projectile will come within distancedof some fixed point in space, is there a distribution that is naturally appropriate for this?

I'm thinking that I'll find the minimum distance to the point in question for each trajectory, and then see if I can fit those distances to the appropriate distribution. I just don't know what that would be. (Rayleigh, maybe??)

Thanks for any suggestions.

EDIT: I probably should have stated that we can assume that the Monte Carlo variations used to generate the sample set were normally distributed.

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# Appropriate distribution for minimum distance

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