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The-contents-urns-i-ii-iii-are-follows-urn-i-1-white-2-black-3-red-balls-urn-ii-2-white-1-black-1-red-balls-urn-iii-4-white-5-black-3-red-balls - Mathematics

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Question

The contents of urns I, II, III are as follows:
Urn I : 1 white, 2 black and 3 red balls
Urn II : 2 white, 1 black and 1 red balls
Urn III : 4 white, 5 black and 3 red balls.
One urn is chosen at random and two balls are drawn. They happen to be white and red. What is the probability that they come from Urns I, II, III?

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Solution

Let E1E2 and E3 denote the events of selecting Urn I, Urn II and Urn III, respectively.

Let A be the event that the two balls drawn are white and red.

\[\therefore P\left( E_1 \right) = \frac{1}{3}\]
\[ P\left( E_2 \right) = \frac{1}{3} \]
\[ P\left( E_3 \right) = \frac{1}{3}\]
\[\text{ Now} , \]
\[P\left( A/ E_1 \right) = \frac{{}^1 C_1 \times^3 C_1}{{}^6 C_2} = \frac{3}{15} = \frac{1}{5}\]
\[P\left( A/ E_2 \right) = \frac{{}^2 C_1 \times^1 C_1}{{}^4 C_2} = \frac{2}{6} = \frac{1}{3}\]
\[P\left( A/ E_3 \right) = \frac{{}^4 C_1 \times^3 C_1}{{}^{12} C_2} = \frac{12}{66} = \frac{2}{11}\]
\[\text{ Using Bayes' theorem, we get } \]
\[\text{ Required probability}  = P\left( E_1 /A \right) = \frac{P\left( E_1 \right)P\left( A/ E_1 \right)}{P\left( E_1 \right)P\left( A/ E_1 \right) + P\left( E_2 \right)P\left( A/ E_2 \right) + + P\left( E_3 \right)P\left( A/ E_3 \right)}\]
\[ = \frac{\frac{1}{3} \times \frac{1}{5}}{\frac{1}{3} \times \frac{1}{5} + \frac{1}{3} \times \frac{1}{3} + \frac{1}{3} \times \frac{2}{11}}\]
\[ = \frac{\frac{1}{5}}{\frac{1}{5} + \frac{1}{3} + \frac{2}{11}} = \frac{\frac{1}{5}}{\frac{33 + 55 + 30}{165}} = \frac{33}{118}\]
\[\text{ Required probability } = P\left( E_2 /A \right) = \frac{P\left( E_2 \right)P\left( A/ E_2 \right)}{P\left( E_1 \right)P\left( A/ E_1 \right) + P\left( E_2 \right)P\left( A/ E_2 \right) + + P\left( E_3 \right)P\left( A/ E_3 \right)}\]
\[ = \frac{\frac{1}{3} \times \frac{1}{3}}{\frac{1}{3} \times \frac{1}{5} + \frac{1}{3} \times \frac{1}{3} + \frac{1}{3} \times \frac{2}{11}}\]
\[ = \frac{\frac{1}{3}}{\frac{1}{5} + \frac{1}{3} + \frac{2}{11}} = \frac{\frac{1}{3}}{\frac{33 + 55 + 30}{165}} = \frac{55}{118}\]
\[\text{ Required probability}  = P\left( E_3 /A \right) = \frac{P\left( E_3 \right)P\left( A/ E_3 \right)}{P\left( E_1 \right)P\left( A/ E_1 \right) + P\left( E_2 \right)P\left( A/ E_2 \right) + + P\left( E_3 \right)P\left( A/ E_3 \right)}\]
\[ = \frac{\frac{1}{3} \times \frac{2}{11}}{\frac{1}{3} \times \frac{1}{5} + \frac{1}{3} \times \frac{1}{3} + \frac{1}{3} \times \frac{2}{11}}\]
\[ = \frac{\frac{2}{11}}{\frac{1}{5} + \frac{1}{3} + \frac{2}{11}} = \frac{\frac{2}{11}}{\frac{33 + 55 + 30}{165}} = \frac{30}{118}\]

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Chapter 31: Probability - Exercise 31.7 [Page 95]

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RD Sharma Mathematics [English] Class 12
Chapter 31 Probability
Exercise 31.7 | Q 1 | Page 95
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