Cheeze_Pavilion post=18.73797.811513 said:
SNIP
Okay, so I've read it a couple of times, and here's the question I keep coming back to: why does knowing one puppy is male only strike out one possibility, the possibility of F/F? Why don't you also have to chop in half the probability of one male and one female because *either* F/M *or* M/F can be possibilities, but not both?
I mean, puppies aren't quantum events--their sex exists before people look at them, right? So why doesn't the 'set' change like I described in comment #175
from:
Puppy 1/ Puppy 2
M M
M F
F M
F F
to:
Referred To Puppy/ Other Puppy
M M
M F
The things you know are that there are two pups, that
at least one pup is male, and that the chances of any pup being male are 50% - you can make no other statements of knowledge. That eliminates only one possible distribution out of four, that both are female. Ergo there are three remaining possible distributions. Of those three remaining possible distributions, only one results in two males; thus the percentage of two males is 1 in 3 or, expressed as an integer percentage, 33%.
This is where you go wrong.
cheeze_Pavilion said:
Is "Excluding the case of two girls, what is the probability that two random children are of different gender?" *REALLY* an equivalent way of saying "A random two-child family with at least one boy is chosen. What is the probability that it has a girl?" What about "If we know one child is a boy, what is the probability that the other child is not?" Is that also equivalent?
Your example specifies that the family must have at least one boy; therefore one possible distribution of four in Saskwach's explanation is removed IN THE SELECTION OF THE SET.
Had the two pups been
selected to have at least one male, you would be correct. But we know the pups were selected without regard to their sexes, else the woman would not have had to make a phone call to determine that there was indeed at least one male pup in the two-pup set. In the case of the pups, the "Referred To Puppy" can be in the first position OR in the second position as long as it is male. Thus the distribution in your analysis should be:
Referred To Puppy/Other Puppy
M/M
M/F
Other Puppy/Referred To Puppy
F/M
There are still three possible distributions out of a set of two binary members if one possible distribution is known.
In Solo's two examples, the woman's children are expressed exactly like the puppy example; you know there is at least one boy, nothing else. Therefore if you know that one child is male, the chance that both are male is 33% because we have eliminated only one possible distribution out of four, namely the female/female one.
For the man's children, however, you also know WHICH child is male - it's the oldest. That eliminates two of the four possible distributions, female/male and female/female. Thus the chance of the second child being male is 50%. Going back to the pup example, if there was a brown pup and a black pup and the groomer told us the brown pup was male, that would eliminate two of the four possible distributions. The chance that the black pup is also male would be 50% because we have already established that the brown pup is not female, eliminating both possible distributions requiring a female brown pup. Thus,
Black/Brown
M/M
M/F
F/M
F/F
becomes
Black/Brown
M/M
F/M
for a 50% chance the black pup is also male. This is a different possible distribution because we have been given additional information, allowing us to eliminate more possible distributions.