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Tone2 Gladiator v2.2 review and bonus updates and activator. Tone2 actually has three great, powerful instruments: Gladiator, Kontakt…Q: A collection of random numbers where the probability of picking a number is a unique property of that number Consider a collection of $20$ distinct numbers (say $1,2, \ldots, 20$). We can randomly pick one number from the collection and see that each number is equally likely to be selected. I am interested in what happens if we consider a different model. Instead of $20$ distinct numbers, consider a collection of $10$ distinct numbers (say $1,2, \ldots, 10$). We can randomly pick one number from the collection and see that each number is equally likely to be selected. I am interested in what happens if we consider a different model. The number of numbers does not matter (i.e., the collection can be as big as desired). The ordering of the $10$ numbers does not matter (i.e., the order of the numbers in the collection can be shuffled) We do not pick $k$ distinct numbers to include in the $10$ numbers (say pick $5$ distinct numbers) The question is: Is there a unique number that is selected in this scenario? Is there a deterministic way of picking $1,2, \ldots, 10$ numbers that will guarantee a unique number is selected? In my sample run, $19, 4, 5, 11, 9, 11, 3, 7, 5, 1, 10, 2, 2$ were picked in that order. $19$ was picked $14$ times, $4$ was picked $11$ times, etc. On average $19/14$ unique numbers are picked (1.143) The lowest number picked is $10$ (there are $7$ unique numbers that are below $10$). A related question is: What is the expected number of picks in the model where we include the $k$ distinct numbers that must be picked, but the order does not matter. We might have to average over how $k$ is selected (such as $5,4,3,3,2,2,2,1,1,1$ etc.) It might also be helpful to know where to find more information about this question. 6d1f23a050


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