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Official PYQ · 2009

GATE CS 2009 Q21 — Conditional Probability and Bayes Theorem

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An unbalanced dice (with 66 faces, numbered from 11 to 66) is thrown. The probability that the face value is odd is 90%90\% of the probability that the face value is even. The probability of getting any even numbered face is the same. If the probability that the face is even given that it is greater than 33 is 0.750.75, which one of the following options is closest to the probability that the face value exceeds 33?

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Answer: B

Let the six faces of the unbalanced die be represented by the set S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}.

Let OO be the event of getting an odd face, O={1,3,5}O = \{1, 3, 5\}, and EE be the event of getting an even face, E={2,4,6}E = \{2, 4, 6\}.

We are given that the probability of getting an odd face is 90%90\% of getting an even face:

P(O)=0.9×P(E)P(O) = 0.9 \times P(E)

Since P(O)+P(E)=1P(O) + P(E) = 1, we have:

0.9P(E)+P(E)=1  ⟹  1.9P(E)=1  ⟹  P(E)=10190.9 P(E) + P(E) = 1 \implies 1.9 P(E) = 1 \implies P(E) = \frac{10}{19}

Since the probability of getting any even numbered face is the same:

P(2)=P(4)=P(6)=P(E)3=1057P(2) = P(4) = P(6) = \frac{P(E)}{3} = \frac{10}{57}

Let GG be the event that the face value is greater than 33, i.e., G={4,5,6}G = \{4, 5, 6\}.

The intersection of even faces and faces greater than 33 is:

E∩G={4,6}E \cap G = \{4, 6\}

Thus, the probability of getting an even face greater than 33 is:

P(E∩G)=P(4)+P(6)=1057+1057=2057P(E \cap G) = P(4) + P(6) = \frac{10}{57} + \frac{10}{57} = \frac{20}{57}

We are given the conditional probability that the face is even given that it is greater than 33 is 0.750.75:

P(E∣G)=0.75=34P(E \mid G) = 0.75 = \frac{3}{4}

Using the definition of conditional probability:

P(E∣G)=P(E∩G)P(G)P(E \mid G) = \frac{P(E \cap G)}{P(G)} 34=20/57P(G)\frac{3}{4} = \frac{20/57}{P(G)} P(G)=43×2057=80171≈0.4678P(G) = \frac{4}{3} \times \frac{20}{57} = \frac{80}{171} \approx 0.4678

The value closest to 0.46780.4678 among the given options is 0.4680.468.

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