Oops, didn't realise this topic would run so fast while my back was turned...to try to clarify the goat thing for those that are still confused about the missing fraction, think of it like this:
In total there are 6 possible combinations of contestant/compere actions:
1 Contestant goat1, compere goat2, door3 car
2 Contestant goat1, compere car, door3 goat2
3 Contestant goat2, compere goat1, door3 car
4 Contestant goat2, compere car, door3 goat1
5 Contestant car, compere goat1, door3 goat2
6 Contestant car, compere goat2, door3 goat2
Assuming these are all equally likely, note that at this point (before any doors have been opened), contestant had a 1/3 chance with the car. However, we know from the text that options 2 and 4 can't happen (compere did
not reveal the car), leaving the 4 equally likely outcomes, 2 of which involve the car being behind door 3.
As for the boys one, YAP is right, in the end it boils down to a philosophical debate about whether you have a particular child in mind when you specify the problem.
In total there are 4 combinations of 2-child families:
Older boy, younger boy
Older boy, younger girl
Older girl, younger boy
Older girl, younger girl
If you specify only that
one of the children is a boy (and you don't say which), you are knocking out just one of the 4 combinations from your total sample (Older girl, younger girl), leaving 3 equally likely possibilities, only one of which involves 2 boys.
But if you specify that (say) the oldest child is a boy, then you knock out the last 2 possibilities, putting the probs back to 1/2.
I have to say though, that this still hasn't been universally agreed, even amongst statisticians. It all boils down to whether you can ever be truly non-specific about children (it seems much clearer if you reduce it to bags of apples and oranges).
Which only goes to show that:
1 in stats, specifying the population and sample space is usually the trickiest bit of the problem; and
2 if any of you ever have a stats probability exam question, read it 6 times before you start the answer!! Usually the actual maths in these things is quite straightforward, so they make up for it using weasel words to try to catch people out!
Thouston
(professional research statistician)