Cheeze_Pavilion post=18.73797.816113 said:
Samirat post=18.73797.816072 said:
It would appear that the only way to recreate the problem is to flip both coins at the same time. If they're both tails, it's irrelevant to the problem.
Dude, you CAN'T make up a model and then say 'oh, never mind the nonsensical results we get-just ignore them'. If you're getting nonsensical results and you have no explanation for them, then you can't trust your model yet.
They're not nonsensical, they're something which did not, in fact happen. [/quote]
If your model is supposed to recreate what happened, and you get results that did not happen, then yes--the results are nonsensical and they need to be explained.[/quote]
The question assumes a random pair of dogs. This alone ensures that sometimes, the washer woman will say "no." In this particular instance, the washer woman said "yes." Therefore, you base your probabilities off of other particular instances, where the washer woman says "yes." They aren't "results" when the situation is different. They just aren't the same problem. They aren't nonsensical, they're just a different case from the premise stated in the problem. You can't have "results," since the problem doesn't even apply to situations where the washer woman says "no."
Again, back to the 100 dogs, magnified example. If I have 100 dogs, and ask if 50 of them are males, and the answer is "yes," it doesn't mean the answer will always be "yes," for a random set of 100 dogs. I could still propose a problem based on the premise that in one instance, the answer was "yes."