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Official PYQ · 2017

GATE CS 2017 Set 2 Q26 — Conditional Probability and Bayes Theorem

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PP and QQ are considering to apply for a job. The probability that PP applies for the job is 14,\dfrac{1}{4}, the probability that PP applies for the job given that QQ applies for the job is 12,\dfrac{1}{2}, and the probability that QQ applies for the job given that PP applies for the job is 13.\dfrac{1}{3}. Then the probability that PP does not apply for the job given that QQ does not apply for this job is

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Answer: A

Let PP and QQ denote the events that PP and QQ apply for the job, respectively. Let PcP^c and QcQ^c denote the complementary events (not applying for the job).

We are given the following probabilities:

  • P(P)=14P(P) = \dfrac{1}{4}
  • P(P∣Q)=12P(P \mid Q) = \dfrac{1}{2}
  • P(Q∣P)=13P(Q \mid P) = \dfrac{1}{3}

We need to find the conditional probability P(Pc∣Qc)P(P^c \mid Q^c).

Step 1: Find the joint probability P(P∩Q)P(P \cap Q)

Using the multiplication rule of probability:

P(P∩Q)=P(Q∣P)⋅P(P)=13⋅14=112P(P \cap Q) = P(Q \mid P) \cdot P(P) = \frac{1}{3} \cdot \frac{1}{4} = \frac{1}{12}

Step 2: Find the probability P(Q)P(Q)

Using the definition of conditional probability for P(P∣Q)P(P \mid Q):

P(P∣Q)=P(P∩Q)P(Q)  ⟹  12=1/12P(Q)P(P \mid Q) = \frac{P(P \cap Q)}{P(Q)} \implies \frac{1}{2} = \frac{1/12}{P(Q)} P(Q)=1/121/2=16P(Q) = \frac{1/12}{1/2} = \frac{1}{6}

Step 3: Find the union probability P(P∪Q)P(P \cup Q)

P(P∪Q)=P(P)+P(Q)−P(P∩Q)P(P \cup Q) = P(P) + P(Q) - P(P \cap Q) P(P∪Q)=14+16−112=3+2−112=412=13P(P \cup Q) = \frac{1}{4} + \frac{1}{6} - \frac{1}{12} = \frac{3 + 2 - 1}{12} = \frac{4}{12} = \frac{1}{3}

Step 4: Find the required probability P(Pc∣Qc)P(P^c \mid Q^c)

By De Morgan's laws, the joint probability of neither event occurring is:

P(Pc∩Qc)=1−P(P∪Q)=1−13=23P(P^c \cap Q^c) = 1 - P(P \cup Q) = 1 - \frac{1}{3} = \frac{2}{3}

The probability of QQ not applying is:

P(Qc)=1−P(Q)=1−16=56P(Q^c) = 1 - P(Q) = 1 - \frac{1}{6} = \frac{5}{6}

Now, calculate the conditional probability:

P(Pc∣Qc)=P(Pc∩Qc)P(Qc)=2/35/6=23×65=45P(P^c \mid Q^c) = \frac{P(P^c \cap Q^c)}{P(Q^c)} = \frac{2/3}{5/6} = \frac{2}{3} \times \frac{6}{5} = \frac{4}{5}

Thus, the correct option is A.

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