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Probability question

2022 · 29 Jul · Shift 2 · Q33
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  5. /2022 · 29 Jul · Shift 2 · Q33

Probability question

2022 · 29 Jul · Shift 2 · Q33

JEE MainMathematicsProbabilityMCQ+4 / −1
Bag I contains 3 red, 4 black and 3 white balls and Bag II contains 2 red, 5 black and 2 white balls. One ball is transferred from Bag I to Bag II and then a ball is drawn from Bag II. The ball so drawn is found to be black in colour. Then the probability, that the transferred ball is red, is :
  1. A
    49\frac{4}{9}94​
  2. B
    518\frac{5}{18}185​
  3. C
    16\frac{1}{6}61​
  4. D
    310\frac{3}{10}103​
View written solutionFree

Correct answer: B

Let

  • TRT_RTR​ = event that the transferred ball from Bag I to Bag II is red,
  • TBT_BTB​ = event that the transferred ball is black,
  • TWT_WTW​ = event that the transferred ball is white,
  • DBD_BDB​ = event that the ball drawn from Bag II is black.

We need to find P(TR∣DB).P(T_R\mid D_B).P(TR​∣DB​).

We use Bayes' theorem: P(TR∣DB)=P(TR)P(DB∣TR)P(DB).P(T_R\mid D_B)=\frac{P(T_R)P(D_B\mid T_R)}{P(D_B)}.P(TR​∣DB​)=P(DB​)P(TR​)P(DB​∣TR​)​.

1. Probabilities of transfer from Bag I

Bag I has 333 red, 444 black, 333 white balls, total 101010 balls.

So, P(TR)=310,P(TB)=410=25,P(TW)=310.P(T_R)=\frac{3}{10},\qquad P(T_B)=\frac{4}{10}=\frac{2}{5},\qquad P(T_W)=\frac{3}{10}.P(TR​)=103​,P(TB​)=104​=52​,P(TW​)=103​.

2. Probability of drawing a black ball from Bag II in each case

Initially, Bag II has 222 red, 555 black, 222 white balls, total 999 balls. After transfer, Bag II will have 101010 balls.

Case 1: Transferred ball is red

Then Bag II becomes:

  • red =3=3=3,
  • black =5=5=5,
  • white =2=2=2.

Hence, P(DB∣TR)=510=12.P(D_B\mid T_R)=\frac{5}{10}=\frac{1}{2}.P(DB​∣TR​)=105​=21​.

Case 2: Transferred ball is black

Then Bag II becomes:

  • red =2=2=2,
  • black =6=6=6,
  • white =2=2=2.

Hence, P(DB∣TB)=610=35.P(D_B\mid T_B)=\frac{6}{10}=\frac{3}{5}.P(DB​∣TB​)=106​=53​.

Case 3: Transferred ball is white

Then Bag II becomes:

  • red =2=2=2,
  • black =5=5=5,
  • white =3=3=3.

Hence, P(DB∣TW)=510=12.P(D_B\mid T_W)=\frac{5}{10}=\frac{1}{2}.P(DB​∣TW​)=105​=21​.

3. Compute P(DB)P(D_B)P(DB​) using total probability

P(DB)=P(TR)P(DB∣TR)+P(TB)P(DB∣TB)+P(TW)P(DB∣TW).P(D_B)=P(T_R)P(D_B\mid T_R)+P(T_B)P(D_B\mid T_B)+P(T_W)P(D_B\mid T_W).P(DB​)=P(TR​)P(DB​∣TR​)+P(TB​)P(DB​∣TB​)+P(TW​)P(DB​∣TW​).

Substitute values: P(DB)=310⋅12+25⋅35+310⋅12.P(D_B)=\frac{3}{10}\cdot\frac{1}{2}+\frac{2}{5}\cdot\frac{3}{5}+\frac{3}{10}\cdot\frac{1}{2}.P(DB​)=103​⋅21​+52​⋅53​+103​⋅21​.

P(DB)=320+625+320.P(D_B)=\frac{3}{20}+\frac{6}{25}+\frac{3}{20}.P(DB​)=203​+256​+203​.

320+320=620=310.\frac{3}{20}+\frac{3}{20}=\frac{6}{20}=\frac{3}{10}.203​+203​=206​=103​.

So, P(D_B)=\frac{3}{10}+\frac{6}{25}= rac{15}{50}+\frac{12}{50}=\frac{27}{50}.

4. Apply Bayes' theorem

=\frac{\frac{3}{10}\cdot\frac{1}{2}}{\frac{27}{50}}.$$ $$=\frac{3}{20}\cdot\frac{50}{27}= rac{5}{18}.$$ ## 5. Match with options Thus the required probability is $$\boxed{\frac{5}{18}}.$$ So the correct option is **B**.
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