
A bag contains 3 white and 3 red balls, pairs of balls are drawn without replacement until the bag is empty. The probability that each pair consist of one white and one red ball is-
a. \[\dfrac{2}{5}\]
b. \[\dfrac{4}{{10}}\]
c. \[\dfrac{5}{{10}}\]
d. \[\dfrac{6}{{10}}\]
Answer
506.4k+ views
Hint:
It is given that we have 3 red and 3 white balls from which we need to take out a pair of 1 white and red ball, without replacement until the bag is empty. So we will start choosing one ball from 3 white and one ball from 3 red balls, and find the number of ways in which we can do so, and divide it by the total number of ways of selecting 2 balls from 6 balls, then for the second time we have 2 red and 2 white balls remaining, we again follow same steps until the bag is empty. The product of all the probabilities will be the required answer.
Complete step by step solution:
Given A bag contains 3 white and 3 red balls
The total number of ways of selecting 2 balls from 6 balls is \[{}^6{C_2}\].
Now firstly we select one white ball and one red ball from the bag.
As there are 3 white balls, so the number of ways of selecting 1 white ball is \[{}^3{C_1}\]
And as there are 3 red balls, so the number of ways of selecting 1 red ball is \[{}^3{C_1}\]
Hence, In first draw, probability \[ = \dfrac{{{}^3{C_1} \times {}^3{C_1}}}{{{}^6{C_2}}}\]
As \[{}^n{C_{n - 1}} = n\] and \[{}^n{C_r} = \dfrac{{n!}}{{r!\left( {n - r} \right)!}}\] , we get,
\[ = \dfrac{{3 \times 3}}{{\dfrac{{6!}}{{2!4!}}}}\]
On simplification we get,
\[ = \dfrac{9}{{\dfrac{{6 \times 5}}{2}}}\]
On simplifying the denominator we get,
\[ = \dfrac{9}{{15}}\]
On dividing the numerator and denominator by 3 we get,
\[ = \dfrac{3}{5}\]
Now in the bag there are 2 white balls and 2 red balls,
So, the number of ways of selecting 1 ball from 2 white balls are \[{}^2{C_1}\]
And, the number of ways of selecting 1 ball from 2 red balls are \[{}^2{C_1}\]
The number of ways of selecting 2 balls from 4 balls are \[{}^4{C_2}\]
Hence, In second draw, probability \[ = \dfrac{{{}^2{C_1} \times {}^2{C_1}}}{{{}^4{C_2}}}\]
As \[{}^n{C_{n - 1}} = n\] and \[{}^n{C_r} = \dfrac{{n!}}{{r!\left( {n - r} \right)!}}\] , we get,
\[ = \dfrac{{2 \times 2}}{{\dfrac{{4!}}{{2!2!}}}}\]
On simplification we get,
\[ = \dfrac{{2 \times 2}}{{\dfrac{{4 \times 3}}{2}}}\]
On simplifying the denominator we get,
\[ = \dfrac{4}{6}\]
On dividing the numerator and denominator by 2 we get,
\[ = \dfrac{2}{3}\]
Now there are only 2 balls in the bag
So number of ways of selecting 2 balls from 2 balls are \[{}^2{C_2}\]
Now the number of ways of selecting 1 ball from 1 white ball is \[{}^1{C_1}\]
Now the number of ways of selecting 1 ball from 1 red ball is \[{}^1{C_1}\]
In third draw, probability \[ = \dfrac{{{}^1{C_1} \times {}^1{C_1}}}{{{}^2{C_2}}}\]\[ = 1\]
So, the total probability \[ = \dfrac{3}{5} \times \dfrac{2}{3} \times 1\]\[ = \dfrac{2}{5}\]
So, we have our solution as, \[\dfrac{4}{{10}}\]\[ = \dfrac{2}{5}\] as our option (a) and (b).
Note:
Here in this type of general probability problems once we get the results of how to arrange the objects, we usually make a mistake of arranging them among themselves. The value in which way it can be arranged among themselves is to be divided in the probability term.
It is given that we have 3 red and 3 white balls from which we need to take out a pair of 1 white and red ball, without replacement until the bag is empty. So we will start choosing one ball from 3 white and one ball from 3 red balls, and find the number of ways in which we can do so, and divide it by the total number of ways of selecting 2 balls from 6 balls, then for the second time we have 2 red and 2 white balls remaining, we again follow same steps until the bag is empty. The product of all the probabilities will be the required answer.
Complete step by step solution:
Given A bag contains 3 white and 3 red balls
The total number of ways of selecting 2 balls from 6 balls is \[{}^6{C_2}\].
Now firstly we select one white ball and one red ball from the bag.
As there are 3 white balls, so the number of ways of selecting 1 white ball is \[{}^3{C_1}\]
And as there are 3 red balls, so the number of ways of selecting 1 red ball is \[{}^3{C_1}\]
Hence, In first draw, probability \[ = \dfrac{{{}^3{C_1} \times {}^3{C_1}}}{{{}^6{C_2}}}\]
As \[{}^n{C_{n - 1}} = n\] and \[{}^n{C_r} = \dfrac{{n!}}{{r!\left( {n - r} \right)!}}\] , we get,
\[ = \dfrac{{3 \times 3}}{{\dfrac{{6!}}{{2!4!}}}}\]
On simplification we get,
\[ = \dfrac{9}{{\dfrac{{6 \times 5}}{2}}}\]
On simplifying the denominator we get,
\[ = \dfrac{9}{{15}}\]
On dividing the numerator and denominator by 3 we get,
\[ = \dfrac{3}{5}\]
Now in the bag there are 2 white balls and 2 red balls,
So, the number of ways of selecting 1 ball from 2 white balls are \[{}^2{C_1}\]
And, the number of ways of selecting 1 ball from 2 red balls are \[{}^2{C_1}\]
The number of ways of selecting 2 balls from 4 balls are \[{}^4{C_2}\]
Hence, In second draw, probability \[ = \dfrac{{{}^2{C_1} \times {}^2{C_1}}}{{{}^4{C_2}}}\]
As \[{}^n{C_{n - 1}} = n\] and \[{}^n{C_r} = \dfrac{{n!}}{{r!\left( {n - r} \right)!}}\] , we get,
\[ = \dfrac{{2 \times 2}}{{\dfrac{{4!}}{{2!2!}}}}\]
On simplification we get,
\[ = \dfrac{{2 \times 2}}{{\dfrac{{4 \times 3}}{2}}}\]
On simplifying the denominator we get,
\[ = \dfrac{4}{6}\]
On dividing the numerator and denominator by 2 we get,
\[ = \dfrac{2}{3}\]
Now there are only 2 balls in the bag
So number of ways of selecting 2 balls from 2 balls are \[{}^2{C_2}\]
Now the number of ways of selecting 1 ball from 1 white ball is \[{}^1{C_1}\]
Now the number of ways of selecting 1 ball from 1 red ball is \[{}^1{C_1}\]
In third draw, probability \[ = \dfrac{{{}^1{C_1} \times {}^1{C_1}}}{{{}^2{C_2}}}\]\[ = 1\]
So, the total probability \[ = \dfrac{3}{5} \times \dfrac{2}{3} \times 1\]\[ = \dfrac{2}{5}\]
So, we have our solution as, \[\dfrac{4}{{10}}\]\[ = \dfrac{2}{5}\] as our option (a) and (b).
Note:
Here in this type of general probability problems once we get the results of how to arrange the objects, we usually make a mistake of arranging them among themselves. The value in which way it can be arranged among themselves is to be divided in the probability term.
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