Question 12 Marks
A bag contains 4 white and 2 black balls. Another contains 3 white and 5 black balls. If one ball is drawn from each bag, find the probability that one is white and one is black.
Answer
View full question & answer→Consider the following events:
$\mathrm{W}_{1}=$ Drawing a white ball from first bag, $\mathrm{W}_{2}=$ Drawing a white ball from second bag.
$\mathrm{B}_{1}=$ Drawing a black ball from first bag, $\mathrm{B}_{2}=$ Drawing a black ball from second bag.
Clearly, $\mathrm{P}\left(\mathrm{W}_{1}\right)=\frac{4}{6}, \mathrm{P}\left(\mathrm{B}_{1}\right)=\frac{2}{6}, \mathrm{P}\left(\mathrm{W}_{2}\right)=\frac{3}{8}$ and $\mathrm{P}\left(\mathrm{B}_{2}\right)=\frac{5}{8}$.
Therefore, required probability is given by,
P (one white ball and one black ball)
$=\mathrm{P}[($ black from 1st and white from 2nd) or (white from 1st and black from 2nd) $]$
$=P\left[\left(B_{1} \cap W_{2}\right) \cup\left(W_{1} \cap B_{2}\right)\right]$
$=P\left(B_{1} \cap W_{2}\right)+P\left(W_{1} \cap B_{2}\right)$ [By addition theorem for mutually exclusive events]
$=\mathrm{P}\left(\mathrm{B}_{1}\right) \mathrm{P}\left(\mathrm{W}_{2}\right)+\mathrm{P}\left(\mathrm{W}_{1}\right) \mathrm{P}\left(\mathrm{B}_{2}\right)\left[\because \mathrm{B}_{1}\right.$ and $\mathrm{W}_{2} ; \mathrm{B}_{2} \& \mathrm{~W}_{1}$ are pairs of independent events $]$
$=\frac{2}{6} \times \frac{3}{8}+\frac{4}{6} \times \frac{5}{8}=\frac{13}{24}$
$\mathrm{W}_{1}=$ Drawing a white ball from first bag, $\mathrm{W}_{2}=$ Drawing a white ball from second bag.
$\mathrm{B}_{1}=$ Drawing a black ball from first bag, $\mathrm{B}_{2}=$ Drawing a black ball from second bag.
Clearly, $\mathrm{P}\left(\mathrm{W}_{1}\right)=\frac{4}{6}, \mathrm{P}\left(\mathrm{B}_{1}\right)=\frac{2}{6}, \mathrm{P}\left(\mathrm{W}_{2}\right)=\frac{3}{8}$ and $\mathrm{P}\left(\mathrm{B}_{2}\right)=\frac{5}{8}$.
Therefore, required probability is given by,
P (one white ball and one black ball)
$=\mathrm{P}[($ black from 1st and white from 2nd) or (white from 1st and black from 2nd) $]$
$=P\left[\left(B_{1} \cap W_{2}\right) \cup\left(W_{1} \cap B_{2}\right)\right]$
$=P\left(B_{1} \cap W_{2}\right)+P\left(W_{1} \cap B_{2}\right)$ [By addition theorem for mutually exclusive events]
$=\mathrm{P}\left(\mathrm{B}_{1}\right) \mathrm{P}\left(\mathrm{W}_{2}\right)+\mathrm{P}\left(\mathrm{W}_{1}\right) \mathrm{P}\left(\mathrm{B}_{2}\right)\left[\because \mathrm{B}_{1}\right.$ and $\mathrm{W}_{2} ; \mathrm{B}_{2} \& \mathrm{~W}_{1}$ are pairs of independent events $]$
$=\frac{2}{6} \times \frac{3}{8}+\frac{4}{6} \times \frac{5}{8}=\frac{13}{24}$