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CBSE Board Examination 2025 · Section A · 1 mark

Q7: P(E/F‾)P(E/\overline{F}) for independent events E and F

The question

If E and F are two independent events such that P(E)=23P(E) = \frac{2}{3}⁠, P(F)=37P(F) = \frac{3}{7}⁠, then P(E/F‾)P(E/\overline{F}) is equal to :

(A) 16\frac{1}{6}

(B) 12\frac{1}{2}

(C) 23\frac{2}{3}

(D) 79\frac{7}{9}

Exam answer

E and F are independent, so E and F‾\overline{F} are independent.

Why?

This is a standard result. E splits into the parts inside F and outside F:

P(E∩F‾)=P(E)−P(E∩F)=P(E)−P(E)P(F)=P(E) [1−P(F)]=P(E) P(F‾)\begin{aligned} P(E \cap \overline{F}) &= P(E) - P(E \cap F) \\ &= P(E) - P(E)P(F) \\ &= P(E)\,[1 - P(F)] \\ &= P(E)\,P(\overline{F}) \end{aligned}
P(E/F‾)=P(E∩F‾)P(F‾)=P(E) P(F‾)P(F‾)=P(E)=23\begin{aligned} P(E/\overline{F}) &= \frac{P(E \cap \overline{F})}{P(\overline{F})} \\ &= \frac{P(E)\,P(\overline{F})}{P(\overline{F})} \\ &= P(E) = \frac{2}{3} \end{aligned}
Why?

Conditional probability: the chance of E, given that F‾\overline{F} has happened, is

P(E/F‾)=P(E∩F‾)P(F‾)P(E/\overline{F}) = \frac{P(E \cap \overline{F})}{P(\overline{F})}

Then P(F‾)P(\overline{F}) cancels. In words: for independent events, knowing that F did not happen does not change the chance of E.

With numbers: P(F‾)=1−37=47P(\overline{F}) = 1 - \frac{3}{7} = \frac{4}{7}⁠.

P(E∩F‾)=23⋅47=821P(E/F‾)=821÷47=821⋅74=23\begin{aligned} P(E \cap \overline{F}) &= \frac{2}{3} \cdot \frac{4}{7} = \frac{8}{21} \\ P(E/\overline{F}) &= \frac{8}{21} \div \frac{4}{7} \\ &= \frac{8}{21} \cdot \frac{7}{4} = \frac{2}{3} \end{aligned}
Why?
P(F‾)=1−37=77−37=4723⋅47=2×43×7=821821⋅74=8×721×4=5684\begin{aligned} P(\overline{F}) &= 1 - \frac{3}{7} = \frac{7}{7} - \frac{3}{7} = \frac{4}{7} \\[4pt] \frac{2}{3} \cdot \frac{4}{7} &= \frac{2 \times 4}{3 \times 7} = \frac{8}{21} \\[4pt] \frac{8}{21} \cdot \frac{7}{4} &= \frac{8 \times 7}{21 \times 4} \\ &= \frac{56}{84} \end{aligned}

To divide by a fraction, multiply by it turned upside down. Then cancel: divide top and bottom by 28.

5684=56÷2884÷28=23\frac{56}{84} = \frac{56 \div 28}{84 \div 28} = \frac{2}{3}

Watch out: 821\frac{8}{21} is P(E∩F‾)P(E \cap \overline{F})⁠, not the answer. Dividing by P(F‾)P(\overline{F}) still has to be done.

Answer: (C) 23\dfrac{2}{3}

Where this comes from

Chapter 13, Probability: Independent events and conditional probability.

Question type: Given numbers

How to spot it: click to see

Type 1. Given numbers: divide by the event after the bar

Spot it: the question gives P(E)P(E)⁠, P(F)P(F) and P(E∩F)P(E\cap F)⁠, and asks for P(E∣F)P(E|F) or P(F∣E)P(F|E)⁠.

Here: In P(E/F‾)P(E/\overline{F}) the event after the bar is F‾\overline{F}⁠, so divide by P(F‾)=47P(\overline{F}) = \frac47⁠. Independence makes the top P(E) P(F‾)P(E)\,P(\overline{F})⁠, so the answer is just P(E)=23P(E) = \frac23⁠.

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