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Bag A contains "3" white,"7" red balls a...

Bag A contains "3" white,"7" red balls and Bag B contains "3" white,"2" red balls.One bag is selected at random and a ball is drawn from it.The probability of drawing the ball from the bag A,if the ball drawn is white,is

A

`1/3`

B

`1/9`

C

`3/10`

D

`1/4`

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The correct Answer is:
To find the probability of drawing a ball from Bag A given that the ball drawn is white, we can use Bayes' theorem. Let's denote the events as follows: - Let \( E_1 \) be the event that Bag A is chosen. - Let \( E_2 \) be the event that Bag B is chosen. - Let \( W \) be the event that a white ball is drawn. We need to find \( P(E_1 | W) \), the probability of having chosen Bag A given that a white ball is drawn. ### Step-by-step Solution: 1. **Identify the total number of balls in each bag:** - Bag A contains 3 white and 7 red balls, so the total number of balls in Bag A is \( 3 + 7 = 10 \). - Bag B contains 3 white and 2 red balls, so the total number of balls in Bag B is \( 3 + 2 = 5 \). 2. **Calculate the prior probabilities of choosing each bag:** - Since one bag is selected at random, the probability of choosing Bag A is: \[ P(E_1) = \frac{1}{2} \] - The probability of choosing Bag B is: \[ P(E_2) = \frac{1}{2} \] 3. **Calculate the probability of drawing a white ball from each bag:** - The probability of drawing a white ball from Bag A is: \[ P(W | E_1) = \frac{3}{10} \] - The probability of drawing a white ball from Bag B is: \[ P(W | E_2) = \frac{3}{5} \] 4. **Use the law of total probability to find \( P(W) \):** - The total probability of drawing a white ball is given by: \[ P(W) = P(W | E_1) \cdot P(E_1) + P(W | E_2) \cdot P(E_2) \] - Substituting the values we calculated: \[ P(W) = \left(\frac{3}{10} \cdot \frac{1}{2}\right) + \left(\frac{3}{5} \cdot \frac{1}{2}\right) \] - Simplifying this: \[ P(W) = \frac{3}{20} + \frac{3}{10} = \frac{3}{20} + \frac{6}{20} = \frac{9}{20} \] 5. **Apply Bayes' theorem to find \( P(E_1 | W) \):** - Bayes' theorem states: \[ P(E_1 | W) = \frac{P(W | E_1) \cdot P(E_1)}{P(W)} \] - Substituting the known values: \[ P(E_1 | W) = \frac{\left(\frac{3}{10}\right) \cdot \left(\frac{1}{2}\right)}{\frac{9}{20}} \] - Simplifying this: \[ P(E_1 | W) = \frac{\frac{3}{20}}{\frac{9}{20}} = \frac{3}{9} = \frac{1}{3} \] ### Final Answer: The probability of drawing the ball from Bag A, given that the ball drawn is white, is \( \frac{1}{3} \).
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