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Exercise 13.1 · Q4

Q.Evaluate P(A∪B)P(A \cup B), if 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13} and P(A∣B)=25P(A|B) = \frac{2}{5}.

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Using the conditional probability formula P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A \cap B)}{P(B)}, we first find P(A∩B)=213P(A \cap B) = \frac{2}{13}. Then from 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13}, we get P(A)=526P(A) = \frac{5}{26}. Finally, P(A∪B)=P(A)+P(B)−P(A∩B)=526+513−213=1126P(A \cup B) = P(A) + P(B) - P(A \cap B) = \frac{5}{26} + \frac{5}{13} - \frac{2}{13} = \frac{11}{26}.


The problem gives you two probabilities and a conditional probability, and asks for the probability of the union. The natural instinct is to reach for the addition rule:

P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

We already have P(B)P(B) directly. But P(A)P(A) is given indirectly through 2P(A)=P(B)2P(A) = P(B), and P(A∩B)P(A \cap B) is hidden inside the conditional probability P(A∣B)P(A|B). So the plan is: first extract P(A)P(A) and P(A∩B)P(A \cap B), then plug into the union formula.


1. Find P(A)P(A) from the given relation

We know 2P(A)=P(B)=5132P(A) = P(B) = \frac{5}{13}.

So P(B)=513P(B) = \frac{5}{13}, and therefore

P(A)=12⋅513=526P(A) = \frac{1}{2} \cdot \frac{5}{13} = \frac{5}{26}

Tip

Always write P(A)P(A) as a fraction with a common denominator early — here 526\frac{5}{26} — to avoid messy arithmetic later.

2. Find P(A∩B)P(A \cap B) using the definition of conditional probability

The definition:

P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A \cap B)}{P(B)}

We are given P(A∣B)=25P(A|B) = \frac{2}{5} and P(B)=513P(B) = \frac{5}{13}. Substitute:

25=P(A∩B)513\frac{2}{5} = \frac{P(A \cap B)}{\frac{5}{13}}

Multiply both sides by 513\frac{5}{13}:

P(A∩B)=25×513=213P(A \cap B) = \frac{2}{5} \times \frac{5}{13} = \frac{2}{13} …

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