February 21st, 2010, 6:34 am
modraig, sorry about the sloppy notation. essentially this is a common application of Bayes' theorem (see e.g., here)say A = newborn is a boy, B = random selected baby (from 6) is a boy.as Eddi indicated, we want P(A|B), i.e., the posterior prob of A given B observed.Bayes' theorem: P(A|B) = P(B|A)*P(A)/P(B)P(A)=1/2 by assumption;if the newborn is a boy, there is P(B|A)=3/6 chance of selecting a boy.now P(B)=P(B|A)*P(A)+P(B|A')*P(A') as you said, where A' = newborn is a girl.similarly, P(A')=1/2 by assumption, and P(B|A')=2/6.hence the answer is (1/2)*(3/6) / [(1/2)*(3/6)+(1/2)*(2/6)] = 0.6(my previous post did not include these 1/2 factors)----- ----- ----- ----- -----your expression seems to answer the following question:given the randomly selected baby is a boy, what is the prob of him being the newborn one?
Last edited by
wileysw on February 20th, 2010, 11:00 pm, edited 1 time in total.