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Three bags contain a number of red and white balls as follows:

Bag 1 : 3 red balls, Bag 2 : 2 red balls and 1 white ball

Bag 3 : 3 white balls

If a white ball is selected, what is the probability that it came from
(i) Bag 2 (ii) Bag 3

Answers (1)

Solution

Let E1, E2, and E3 be the events that Bag 1, Bag 2 and Bag 3 are selected, and a ball is chosen from it.

Bag 1: 3 red balls,
Bag 2: 2 red balls and 1 white ball
Bag 3: 3 white balls.

The probability that bag i will be chosen and a ball is selected from it is i|6.

\\ P\left(E_{1}\right)=\frac{1}{6}, P\left(E_{2}\right)=\frac{2}{6}$ and \\\\$P\left(E_{3}\right)=\frac{3}{6}
Let F be the event that a white ball is selected. Therefore, \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{1}\right) is the probability that a white ball is chosen from bag 1

\mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{2}\right) is the probability that the white ball is chosen from bag 2 .

\\ \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{3}\right) \text{ is the probability that white ball is chosen from the bag 2}. \\\\\mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{1}\right)=0 \\\\\mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{2}\right)=\frac{1}{3} \\\\\mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{3}\right)=\frac{3}{3}=1
To find: the probability that if the white ball is selected, it is selected from:

(i) Bag 2

Using Bayes’ theorem to find the probability of occurrence of an event A when event B has already occurred.

\begin{aligned} &\therefore \mathbf{P}(\mathbf{A} \mid \mathbf{B})=\frac{\mathbf{P}(\mathbf{A}) \mathbf{P}(\mathbf{B} \mid \mathbf{A})}{\mathrm{P}(\mathrm{B})}\\ &\mathrm{P}\left(\mathrm{E}_{2} \mid \mathrm{F}\right) \text { is the probability that white ball is selected from bag } 2 \text { . }\\ &\mathrm{P}\left(\mathrm{E}_{2} \mid \mathrm{F}\right)=\frac{\mathrm{P}\left(\mathrm{E}_{2}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{2}\right)}{\mathrm{P}\left(\mathrm{E}_{1}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{1}\right)+\mathrm{P}\left(\mathrm{E}_{2}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{2}\right)+\mathrm{P}\left(\mathrm{E}_{3}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{3}\right)}\\ &=\frac{\frac{2}{6} \times \frac{1}{3}}{\frac{1}{6} \times 0+\frac{2}{6} \times \frac{1}{3}+\frac{3}{6} \times 1} \end{aligned}

\\=\frac{\frac{1}{9}}{0+\frac{1}{9}+\frac{1}{2}} \\\\ =\frac{\frac{1}{9}}{\frac{2+9}{18}} \\\\ =\frac{1}{9} \times \frac{18}{11} \\\\ =\frac{2}{11}

(ii)Bag 3

Using Bayes' theorem to find the probability of occurrence of an event A when event B has already occurred.

\therefore \mathbf{P}(\mathbf{A} \mid \mathbf{B})=\frac{\mathbf{P}(\mathbf{A}) \mathbf{P}(\mathbf{B} \mid \mathbf{A})}{\mathrm{P}(\mathrm{B})}

\mathrm{P}\left(\mathrm{E}_{3} \mid \mathrm{F}\right) \text{is the probability that white ball is selected from bag 2}

Using Bayes' theorem, we get the probability of \mathrm{P}\left(\mathrm{E}_{3} \mid \mathrm{F}\right) as:

\\\mathrm{P}\left(\mathrm{E}_{3} \mid \mathrm{F}\right)=\frac{\mathrm{P}\left(\mathrm{E}_{3}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{3}\right)}{\mathrm{P}\left(\mathrm{E}_{1}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{1}\right)+\mathrm{P}\left(\mathrm{E}_{2}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{2}\right)+\mathrm{P}\left(\mathrm{E}_{3}\right) \times \mathrm{P}\left(\mathrm{F} \mid \mathrm{E}_{3}\right)}$ $=\frac{\frac{3}{6} \times 1}{\frac{1}{6} \times 0+\frac{2}{6} \times \frac{1}{3}+\frac{3}{6} \times 1}$ $\\=\frac{\frac{1}{2}}{0+\frac{1}{9}+\frac{1}{2}}

\\ =\frac{\frac{1}{2}}{\frac{2+9}{18}} \\ =\frac{1}{2} \times \frac{18}{11} \\ =\frac{9}{11}

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