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Question: A couple has \[2\] children. Find the probability that both are boys if it is known that (i) one of ...

A couple has 22 children. Find the probability that both are boys if it is known that (i) one of them is a boy (ii) the older child is a boy.

Explanation

Solution

To solve this question first make the sample space of 22 children in a family. Make all the possible causes for a sample space and then apply both the conditions according to the question; that at least one child is a boy and the second condition is a boy; the last condition is that the eldest child is a boy. While writing sample space, write the elder child first and then the younger.

Complete answer: 22 children are in a family.
To find,
The probability that both are boys applying both of that condition
So to solve the question first we make a sample space
S=BB,BG,GB,GGS = \\{ BB,BG,GB,GG\\} this is the sample space according to the question
Here, BB stands for boy in a family and
GG stands for a girl in a family
First, we use the first condition that is given in the question that is at least one of them is a boy:
Outcomes of at least one boy.
X:BB,BG,GBX:\\{ BB,BG,GB\\}
Now the second condition is both the children are boys:
Y:BBY:\\{ BB\\}
Now the probability of both the children are boy satisfying one of them is a boy
P(Y/X)=P(XY)P(X)P(Y/X) = \dfrac{{P(X \cap Y)}}{{P(X)}}
Here, in intersection only one condition is common that is BB\\{ BB\\}
P(XY)=favourablenumberofoutcomesTotalnumberofoutcomesP(X \cap Y) = \dfrac{{favourable\,number\,of\,outcomes}}{{Total\,number\,of\,outcomes}}
On putting the values
P(XY)=14P(X \cap Y) = \dfrac{1}{4}
Probability of getting one boy
P(X)=favourablenumberofoutcomesTotalnumberofoutcomesP(X) = \dfrac{{favourable\,number\,of\,outcomes}}{{Total\,number\,of\,outcomes}}
On putting the values
P(X)=34P(X) = \dfrac{3}{4}
Putting both the values in conditional formula
P(Y/X)=P(XY)P(X)P(Y/X) = \dfrac{{P(X \cap Y)}}{{P(X)}}
P(Y/X)=1434P(Y/X) = \dfrac{{\dfrac{1}{4}}}{{\dfrac{3}{4}}}
On further solving
P(Y/X)=13P(Y/X) = \dfrac{1}{3}
Probability of getting both boys if one of them is boy P(Y/X)=13P(Y/X) = \dfrac{1}{3}
Now we use the second condition that is given in the question that is an elder child is a boy:
Outcomes of at least one boy.
X:BB,BGX:\\{ BB,BG\\}
Now the second condition is both the children are boys:
Y:BBY:\\{ BB\\}
Now the probability of both the children are boy satisfying one of them is a boy
P(Y/X)=P(XY)P(X)P(Y/X) = \dfrac{{P(X \cap Y)}}{{P(X)}}
Here, in intersection only one condition is common that is BB\\{ BB\\}
P(XY)=favourablenumberofoutcomesTotalnumberofoutcomesP(X \cap Y) = \dfrac{{favourable\,number\,of\,outcomes}}{{Total\,number\,of\,outcomes}}
On putting the values
P(XY)=14P(X \cap Y) = \dfrac{1}{4}
Probability of getting one boy
P(X)=favourablenumberofoutcomesTotalnumberofoutcomesP(X) = \dfrac{{favourable\,number\,of\,outcomes}}{{Total\,number\,of\,outcomes}}
On putting the values
P(X)=24P(X) = \dfrac{2}{4}
Putting both the values in conditional formula
P(Y/X)=P(XY)P(X)P(Y/X) = \dfrac{{P(X \cap Y)}}{{P(X)}}
P(Y/X)=1424P(Y/X) = \dfrac{{\dfrac{1}{4}}}{{\dfrac{2}{4}}}
On further solving
P(Y/X)=12P(Y/X) = \dfrac{1}{2}
Probability of getting both boys if the elder of them is boy P(Y/X)=12P(Y/X) = \dfrac{1}{2}.

Note:
Conditional probability is defined as the likelihood of an event or outcome occurring, based on the occurrence of a previous event or outcome. Conditional probability is calculated by multiplying the probability of the preceding event by the updated probability of the succeeding, or conditional, event.