A couple has $3$ kids, and $1$ of them is known to be male.
What is the probability that $1$ (only $1$) of the other $2$ kids is male?
A couple has $3$ kids, and $1$ of them is known to be male.
What is the probability that $1$ (only $1$) of the other $2$ kids is male?
in generally,if we consider $3$ child,and we know that only $1$ is male,then probability of being any choosen child male is $1/3$,but if our space is consisted by two child then possibility of all combination is,let choose male as $M$,and female $F$,so $(F,F)$,$(F,M)$,$(M,F)$,$(M,M)$ probability is $2/4=1/2$
I'll give the answer for a slightly easier variation and let you work out the rest for yourself.
Question : A family has two kids, at least one of which is a boy. What is the probability that the other kid is also a boy ?
Let A be the event "at least one of the kids is a boy" and B the event "both kids are boys". We want to know the conditional probability $P_A(B)$, so we write $P_A(B) = \frac{P(A \cap B)}{P(A)} = \frac{P(B)}{P(A)} = \frac{\tfrac{1}{4}}{\tfrac{3}{4}} = \frac{1}{3}$
A similar reasoning gives the answer you're looking for : $\frac{3}{7}$ (not $\frac{1}{2}$).
Edit
There seems to be quite a lot of confusion on this issue, so I'll give more details.
We consider a family of three kids, and we make the (reasonable) assumptions that each kid has a probability $\frac{1}{2}$ of being male, independently of all the others. The question (rephrased for clarification) is "If we know that there is at least one boy in a family, what is the probability that there are exactly two boys in that family?".
The important thing to understand is that this is a conditional probability. More precisely, we want to calculate $P(B|A)$, where
The formula for $P(A|B)$ is $P(B|A) = \frac{P(A \cap B)}{P(A)}$. Here, we have $P(A \cap B) = P(B)$ (if there are two boys in the family, there is necessarily at least one boy). Thus, we simply need the values of $P(A)$ and $P(B)$.
If we know what random variables are, we can simply observe that the number of boys in the family follows a binomial distribution $\mathcal{B}(3,\frac{1}{2})$, but this is not really needed. We can simply list all the possible outcomes of the experiment and count how many of these outcomes correspond to our events. In order to do that, we need to ensure that all the outcomes we define have the same probability. This will be the case if we define our outcomes to be tuples (ordered lists) of the sexes of the children. We then have 8 outcomes : $\Omega = \{(M,M,M),(M,M,F),(M,F,M),(M,F,F),(F,M,M),(F,M,F),(F,F,M),(F,F,F)\}$ 7 of these outcomes correspond to $A$ (all but the last one), 3 correspond to $B$.
So we get $P(A)=\frac{7}{8}$, $P(B)=\frac{3}{8}$ and $\boxed{P(B|A)= \frac{\tfrac{3}{8}}{\tfrac{7}{8}}=\frac{3}{7}}$, which is the desired answer.
Alternatively, we could say that there are only seven possible outcomes $\Omega' = \{(M,M,M),(M,M,F),(M,F,M),(M,F,F),(F,M,M),(F,M,F),(F,F,M)\}$ each of which has probability $\frac{1}{7}$ and three of which correspond to the event $B$. We get the same answer, this time by changing our universe (instead of using the usual technique of keeping the same universe and using conditional probabilities).
EDIT : last update, I'm only supposed to teach this during the school year :) This is an answer to a comment below by @Adam which I could not fit in a comment.
The first thing to understand is that the number of possible outcomes is not important. Actually, different (but equally valid) ways to model your situation will give you different universes and different numbers of possible outcomes. That is not a problem because the probabilities of these outcomes will also be different so you will get the same probability for all your events in the end (assuming your models are both valid, obviously).
Second thing : if the question was "a family has two kids, their first-born is a boy, what is the probability that the other is a boy ?", the answer would be $\frac{1}{2}$. So the whole thing depends on how we interpret the "one of which is known to be male" in your original question (which is extremely ambiguous, almost certainly in purpose). A few things to think about :
If you understand the reasoning behind these answers, then you have understood whatever it was that exercise was supposed to teach you.