Order preserved Lotto distribution

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The discussion revolves around calculating the probability of matching four numbers in a Lotto game where the order of selection is preserved. Participants note that while it's straightforward to compute probabilities using hypergeometric distribution for unordered selections, the challenge arises when enforcing an ordered selection, such as requiring that each subsequent number be greater than the previous one. There is some confusion regarding the definition of a "random ordered sample" and how it affects probability calculations. One suggested method is to first select an unordered sample and then sort it, which would yield the same probability as in the unordered case. Clarification on the specifics of the probability distribution is essential for accurate computation.
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42 balls are numbered 1-42. You select six numbers between 1 and 42. (The ones you write on your lotto card). I know if it is randomly selected regardless of order, it is easy to compute probability that they contain some numbers of yours, E.g. P(Match 4), by hypergeometric Distribution. BUT, NOW, the point is what is probability of matching 4 numbers, given that order is preserved? E.g. If we write 10 at first next number must be more than 10 (can`t write 9 after 10).

Thanks in advance for your attention. Please be advised it is Not homework.
 
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I don't fully understand the question. If you picked a 42 first then you would blow up? There seems to be inconsistencies in the question.
 
Cylab said:
42 balls are numbered 1-42. You select six numbers between 1 and 42. (The ones you write on your lotto card). I know if it is randomly selected regardless of order, it is easy to compute probability that they contain some numbers of yours, E.g. P(Match 4), by hypergeometric Distribution. BUT, NOW, the point is what is probability of matching 4 numbers, given that order is preserved? E.g. If we write 10 at first next number must be more than 10 (can`t write 9 after 10).

Thanks in advance for your attention. Please be advised it is Not homework.

So much here depends on how you choose to define the probability distribution over ordered samples; that is: to say what you mean by a random ordered sample. One way would be to take an unordered sample, then sort it, but there are other methods as well. In the case of sorting an unordered sample the probability of getting a match would be the same as in the unordered case, because the same set of numbers would be involved.

RGV
 
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