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Jun 28 '19 at 7:55 comment added Richard I would not “give up”. Rather I would say: given the information provided, this is the best I can do. If I look at it and see that it does not make sense at all, then you can either try to get more data, or say you can’t solve it. I find the idea of just assuming stuff to make it work dangerous, because I have come across code in my work that was just put in there “to make it work” and it gave wrong results. But nobody checked so everybody trusted the results, leading to misinformed decisions.
Jun 28 '19 at 7:48 comment added J Fabian Meier So if we just have average values because either this is an academic problem where you cannot "ask the customer", or the customer does not have more detailed data, then you should just give up? Strictly speaking, I cannot sensibly plan a capacity of a hub if I only know the average shipping volume.
Jun 28 '19 at 7:07 comment added Richard I wouldn’t even assume a distribution: if they give you average values, use average values, that’s my point. Then you can go back and say “hey, is there really nothing we can say?” But before they tell you something, I’d just use what they provide.
Jun 28 '19 at 7:06 comment added J Fabian Meier The problem: "not assuming anything" usually is also an assumption. If you don't know the probability distribution of a parameter and you treat it as constant, this assumes a lot.
Jun 28 '19 at 6:50 history answered Richard CC BY-SA 4.0