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Just a note

Performing 5000 randomizations to estimate a distribution comprising just 252 combinations might seem rather like using an artillery shell to crack a nut. Remember however that each randomization statistic uses a randomly selected order of selection, and in this case there are (10!) 3,628,800 permutations to choose from.

Notice also that, irrespective of how many simulations you perform, you cannot obtain more information than the exact distribution you are approximating! In other words, your inference is still determined by the reasonableness of your underlying model - and the amount of information conveyed by your observations.