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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

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प्रश्न

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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उत्तर

Let E1, E2 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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अध्याय 30: Probability - Exercise 31.7 [पृष्ठ ९५]

APPEARS IN

आर.डी. शर्मा Mathematics Volume 1 and 2 [English] Class 12
अध्याय 30 Probability
Exercise 31.7 | Q 1 | पृष्ठ ९५

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