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Probability question

2011 · Shift 1 · Q36
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Probability question

2011 · Shift 1 · Q36

JEE AdvancedMathematicsProbabilityMCQ+4 / −1
Let U1{U_1}U1​ and U2{U_2}U2​ be two urns such that U1{U_1}U1​ contains 333 white and 222 red balls, and U2{U_2}U2​ contains only 111 white ball. A fair coin is tossed. If head appears then 111 ball is drawn at random from U1{U_1}U1​ and put into U2{U_2}U2​. However, if tail appears then 222 balls are drawn at random from U1{U_1}U1​ and put into U2{U_2}U2​. Now 111 ball is drawn at random from U2{U_2}U2​ being white isThe probability of the drawn ball from U2{U_2}U2​ being white is
  1. A
    1330{{13} \over {30}}3013​
  2. B
    2330{{23} \over {30}}3023​
  3. C
    1930{{19} \over {30}}3019​
  4. D
    1130{{11} \over {30}}3011​
View written solutionFree

Correct answer: B

Step-by-step Solution

Let's break down the problem to find the total probability of drawing a white ball from urn U2U_2U2​.

1. Initial Setup

  • Urn U1U_1U1​ contains: 3 White (W) and 2 Red (R) balls. Total balls = 5.
  • Urn U2U_2U2​ contains: 1 White (W) ball. Total balls = 1.
  • A fair coin is tossed, so the probability of getting a Head (H) is P(H)=12P(H) = {1 \over 2}P(H)=21​ and the probability of getting a Tail (T) is P(T)=12P(T) = {1 \over 2}P(T)=21​.

Let EEE be the event that the ball drawn from U2U_2U2​ is white. We need to find P(E)P(E)P(E). We can use the Law of Total Probability: P(E)=P(E∣H)⋅P(H)+P(E∣T)⋅P(T)P(E) = P(E|H) \cdot P(H) + P(E|T) \cdot P(T)P(E)=P(E∣H)⋅P(H)+P(E∣T)⋅P(T)

2. Case 1: Head Appears (Event H) If a head appears, 1 ball is drawn from U1U_1U1​ and put into U2U_2U2​. We need to calculate P(E∣H)P(E|H)P(E∣H), the probability of drawing a white ball from U2U_2U2​ given that a head appeared.

  • Subcase 2.1: A white ball is transferred from U1U_1U1​ to U2U_2U2​.

    • The probability of drawing a white ball from U1U_1U1​ is P(W1)=35P(W_1) = {3 \over 5}P(W1​)=53​.
    • After transfer, U2U_2U2​ will contain 1+1=21+1=21+1=2 white balls. The total number of balls in U2U_2U2​ is 2.
    • The probability of drawing a white ball from U2U_2U2​ is now 22=1{2 \over 2} = 122​=1.
  • Subcase 2.2: A red ball is transferred from U1U_1U1​ to U2U_2U2​.

    • The probability of drawing a red ball from U1U_1U1​ is P(R1)=25P(R_1) = {2 \over 5}P(R1​)=52​.
    • After transfer, U2U_2U2​ will contain 1 white ball and 1 red ball. The total number of balls in U2U_2U2​ is 2.
    • The probability of drawing a white ball from U2U_2U2​ is now 12{1 \over 2}21​.
  • Calculating P(E∣H)P(E|H)P(E∣H): Using the law of total probability for this conditional event: P(E∣H)=P(draw W from U2∣W1 transferred)⋅P(W1 transferred)+P(draw W from U2∣R1 transferred)⋅P(R1 transferred)P(E|H) = P(\text{draw W from } U_2 | W_1 \text{ transferred}) \cdot P(W_1 \text{ transferred}) + P(\text{draw W from } U_2 | R_1 \text{ transferred}) \cdot P(R_1 \text{ transferred})P(E∣H)=P(draw W from U2​∣W1​ transferred)⋅P(W1​ transferred)+P(draw W from U2​∣R1​ transferred)⋅P(R1​ transferred) P(E∣H)=(1)⋅(35)+(12)⋅(25)=35+15=45P(E|H) = (1) \cdot \left({3 \over 5}\right) + \left({1 \over 2}\right) \cdot \left({2 \over 5}\right) = {3 \over 5} + {1 \over 5} = {4 \over 5}P(E∣H)=(1)⋅(53​)+(21​)⋅(52​)=53​+51​=54​

3. Case 2: Tail Appears (Event T) If a tail appears, 2 balls are drawn from U1U_1U1​ and put into U2U_2U2​. We need to calculate P(E∣T)P(E|T)P(E∣T), the probability of drawing a white ball from U2U_2U2​ given that a tail appeared.

The total number of ways to draw 2 balls from U1U_1U1​ (3W, 2R) is 5C2=5×42=10{}^5C_2 = {5 \times 4 \over 2} = 105C2​=25×4​=10.

  • Subcase 3.1: Two white balls are transferred from U1U_1U1​.

    • Number of ways to draw 2W from 3W is 3C2=3{}^3C_2 = 33C2​=3. Probability = 310{3 \over 10}103​.
    • After transfer, U2U_2U2​ contains 1+2=31+2=31+2=3 white balls. Total balls = 3.
    • Probability of drawing a white ball from U2U_2U2​ is 33=1{3 \over 3} = 133​=1.
  • Subcase 3.2: One white and one red ball are transferred from U1U_1U1​.

    • Number of ways to draw 1W from 3W and 1R from 2R is 3C1×2C1=3×2=6{}^3C_1 \times {}^2C_1 = 3 \times 2 = 63C1​×2C1​=3×2=6. Probability = 610{6 \over 10}106​.
    • After transfer, U2U_2U2​ contains 1+1=21+1=21+1=2 white balls and 1 red ball. Total balls = 3.
    • Probability of drawing a white ball from U2U_2U2​ is 23{2 \over 3}32​.
  • Subcase 3.3: Two red balls are transferred from U1U_1U1​.

    • Number of ways to draw 2R from 2R is 2C2=1{}^2C_2 = 12C2​=1. Probability = 110{1 \over 10}101​.
    • After transfer, U2U_2U2​ contains 1 white ball and 2 red balls. Total balls = 3.
    • Probability of drawing a white ball from U2U_2U2​ is 13{1 \over 3}31​.
  • Calculating P(E∣T)P(E|T)P(E∣T): P(E∣T)=(1)⋅(310)+(23)⋅(610)+(13)⋅(110)P(E|T) = (1) \cdot \left({3 \over 10}\right) + \left({2 \over 3}\right) \cdot \left({6 \over 10}\right) + \left({1 \over 3}\right) \cdot \left({1 \over 10}\right)P(E∣T)=(1)⋅(103​)+(32​)⋅(106​)+(31​)⋅(101​) P(E∣T)=310+1230+130=930+1230+130=2230P(E|T) = {3 \over 10} + {12 \over 30} + {1 \over 30} = {9 \over 30} + {12 \over 30} + {1 \over 30} = {22 \over 30}P(E∣T)=103​+3012​+301​=309​+3012​+301​=3022​

4. Final Calculation for P(E) Now, we substitute the values of P(E∣H)P(E|H)P(E∣H) and P(E∣T)P(E|T)P(E∣T) into the total probability formula: P(E)=P(E∣H)⋅P(H)+P(E∣T)⋅P(T)P(E) = P(E|H) \cdot P(H) + P(E|T) \cdot P(T)P(E)=P(E∣H)⋅P(H)+P(E∣T)⋅P(T) P(E)=(45)⋅(12)+(2230)⋅(12)P(E) = \left({4 \over 5}\right) \cdot \left({1 \over 2}\right) + \left({22 \over 30}\right) \cdot \left({1 \over 2}\right)P(E)=(54​)⋅(21​)+(3022​)⋅(21​) P(E)=410+2260P(E) = {4 \over 10} + {22 \over 60}P(E)=104​+6022​ To add these fractions, we find a common denominator, which is 60. P(E)=4×610×6+2260=2460+2260=4660P(E) = {4 \times 6 \over 10 \times 6} + {22 \over 60} = {24 \over 60} + {22 \over 60} = {46 \over 60}P(E)=10×64×6​+6022​=6024​+6022​=6046​ Simplifying the fraction: P(E)=2330P(E) = {23 \over 30}P(E)=3023​

The probability of the drawn ball from U2U_2U2​ being white is 2330{{23} \over {30}}3023​. This matches option B.

Conclusion

The correct option is B.

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