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CAT 2025 Lesson : Probability - Conditional Probability

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6. Conditional Probability

Conditional Probability is the probability of an event A occurring given that an event B has already occurred. This is represented as P(A / B).

P(A / B)
=P(AB)P(B)== \dfrac{\text{P}( \text{A} \cap \text{B})}{\text{P}(\text{B})} = n(AB)n(B)\dfrac{n (\text{A} \cap \text{B})}{n(\text{B})}

Example 18

A bag contains 44 red balls and 66 black balls. John lies 30%30 \% of the times. John picked a ball from the bag and said its colour is red. What is the probability that the colour of the ball is red?

Solution

Let the event of the ball being red be R and the event of John calling it red be JR. We need to find P(R / JR)

Probability of a drawn ball being red is 0.40.4 and black is 0.60.6.
Probability of John lying is
0.30.3 and speaking the truth is 0.70.7.

Probability that John would call it red when
- the drawn ball is red and he speaks the truth
=0.4×0.7=0.28= 0.4 \times 0.7 = 0.28 -----(1)
- the drawn ball is black and he lies
=0.6×0.3=0.18= 0.6 \times 0.3 = 0.18

P(JR)
=0.28+0.18=0.46= 0.28 + 0.18 = 0.46

From (
11), P(R \cap JR) == Probability of drawn ball is red and John Calls it red =0.28= 0.28

P(R / JR)
=P(RJR)P(JR)=0.280.46=1423= \dfrac{ \text{P} ( \text{R} \cap \text{JR})}{ \text{P}( \text{JR})} = \dfrac{0.28}{0.46} = \dfrac{14}{23}

Answer:
1423\dfrac{14}{23}

Example 19

In a group of 2020 students, 88 are girls. 55 girls and 88 boys study biology. If 22 students are randomly selected and both are girls, what is the probability of them studying biology as well?

Solution

Let A denote selecting two students who study biology and B denote selecting two students who are girls.

As there are a total of 88 girls, nn(B) == 8C2=28^{8}C_{2} = 28
As there are
55 girls who study biology, nn(A \cap B) == 5C2=10^{5}C_{2} = 10

P(A / B)
=n(AB)n(B)=1028=514= \dfrac{n(\text{A} \cap \text{B})}{n(\text{B})} = \dfrac{10}{28} = \dfrac{5}{14}

Answer:
514\dfrac{5}{14}

Example 20

John is a quality inspector. He decides to select one of 44 consignments – A, B, C and D – and conduct a test on one item in the consignment. The defective items in bags A, B, C and D are 4%,5%,8%4 \%, 5 \%, 8 \% and 10%10 \% respectively. The chances of John selecting each of the consignment A, B, C and D are 40%,30%,20%40 \%, 30 \%, 20 \% and 10%10 \% respectively. John selects a consignment, tests an item and finds it to be defective. What is the probability that the defective item was from consignment A?

Solution

We need to find the probability that the first consignment was selected given that the item tested is defective.

Let the F be the event where the item tested is defective. Let A be the event where the first bag is chosen.

P(D) = P(Defective from 1st1^{\mathrm{st}}) + P(Defective from 2nd^{\mathrm{nd}}) + P(Defective from 3rd3^{\mathrm{rd}}) +
P(Defective from
4th4^{\mathrm{th}})
P(D)
=(0.4×0.04)+(0.3×0.05)+(0.2×0.08)+(0.1×0.1)= (0.4 \times 0.04) + (0.3 \times 0.05) + (0.2 \times 0.08) + (0.1 \times 0.1)
=0.016+0.015+0.016+0.010=0.057= 0.016 + 0.015 + 0.016 + 0.010 = \bm{0.057}

P(A
\cap F) == Probability of the defective item being chosen from Bag A
=0.4×0.04=0.16= 0.4 \times 0.04 = \bm{0.16}

P(A / F)
=P(AF)P(F)=0.160.57=1657= \dfrac{\text{P}(\text{A} \cap \text{F})}{\text{P}(\text{F})} = \dfrac{0.16}{0.57} = \dfrac{16}{57}

Answer:
1657\dfrac{16}{57}

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