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Three urns respectively contain 3 white and 2 black, 2 white and 3 black, and 1 white and 4 black balls. One ball is drawn from each urn. Find the probability that the selection contains 1 black and 2 white balls.

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To solve the problem of finding the probability that the selection contains 1 black and 2 white balls when one ball is drawn from each of the three urns, we can break down the solution into the following steps: ### Step 1: Identify the contents of each urn - **Urn 1**: 3 white balls, 2 black balls - **Urn 2**: 2 white balls, 3 black balls - **Urn 3**: 1 white ball, 4 black balls ### Step 2: Determine the possible cases for drawing 1 black and 2 white balls We can have the following combinations to achieve 1 black and 2 white balls: 1. **Case 1**: Black from Urn 1, White from Urn 2, White from Urn 3 2. **Case 2**: White from Urn 1, Black from Urn 2, White from Urn 3 3. **Case 3**: White from Urn 1, White from Urn 2, Black from Urn 3 ### Step 3: Calculate the probability for each case #### Case 1: Black from Urn 1, White from Urn 2, White from Urn 3 - Probability of drawing black from Urn 1: \[ P(B_1) = \frac{2}{5} \] - Probability of drawing white from Urn 2: \[ P(W_2) = \frac{2}{5} \] - Probability of drawing white from Urn 3: \[ P(W_3) = \frac{1}{5} \] - Combined probability for Case 1: \[ P(\text{Case 1}) = P(B_1) \times P(W_2) \times P(W_3) = \frac{2}{5} \times \frac{2}{5} \times \frac{1}{5} = \frac{4}{125} \] #### Case 2: White from Urn 1, Black from Urn 2, White from Urn 3 - Probability of drawing white from Urn 1: \[ P(W_1) = \frac{3}{5} \] - Probability of drawing black from Urn 2: \[ P(B_2) = \frac{3}{5} \] - Probability of drawing white from Urn 3: \[ P(W_3) = \frac{1}{5} \] - Combined probability for Case 2: \[ P(\text{Case 2}) = P(W_1) \times P(B_2) \times P(W_3) = \frac{3}{5} \times \frac{3}{5} \times \frac{1}{5} = \frac{9}{125} \] #### Case 3: White from Urn 1, White from Urn 2, Black from Urn 3 - Probability of drawing white from Urn 1: \[ P(W_1) = \frac{3}{5} \] - Probability of drawing white from Urn 2: \[ P(W_2) = \frac{2}{5} \] - Probability of drawing black from Urn 3: \[ P(B_3) = \frac{4}{5} \] - Combined probability for Case 3: \[ P(\text{Case 3}) = P(W_1) \times P(W_2) \times P(B_3) = \frac{3}{5} \times \frac{2}{5} \times \frac{4}{5} = \frac{24}{125} \] ### Step 4: Sum the probabilities of all cases To find the total probability of drawing 1 black and 2 white balls, we sum the probabilities of all three cases: \[ P(\text{Total}) = P(\text{Case 1}) + P(\text{Case 2}) + P(\text{Case 3}) = \frac{4}{125} + \frac{9}{125} + \frac{24}{125} = \frac{37}{125} \] ### Final Answer The probability that the selection contains 1 black and 2 white balls is: \[ \frac{37}{125} \]
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  11. A coin is tossed once. Write its sample space.

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  12. If one coin is tossed twice (or two coins tossed once), then the sampl...

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  13. If a coin is tossed three times (or three coins are tossed together...

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  14. If one coin is tossed n times (or n coins tossed once), then the numbe...

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  15. If one die is rolled once, then the sample space is

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  17. If s is the total score when two dice are thrown once then

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