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JEE Advanced 2026Paper 1
Exam
JEE Advanced
Year
2026
Paper
Paper 1
Subject
Mathematics
Chapter
Probability

JEE Advanced 2026 · Paper 1 · Mathematics · Probability

Suppose that Box I contains 6 red balls and 9 green balls, and Box...

Suppose that Box I contains 66 red balls and 99 green balls, and Box II contains 88 red balls and 1212 green balls. All the balls of Box I and Box II are mixed together and a ball is chosen at random from them. Let E1E_1 be the event that the ball chosen belonged to Box I and let E2E_2 be the event that the ball chosen belonged to Box II. Let F1F_1 be the event that the ball chosen is red and let F2F_2 be the event that the ball chosen is green.

Then which of the following statements is (are) TRUE?

Options

  1. AThe events E1E_1 and F1F_1 are independent
  2. BThe events E2E_2 and F2F_2 are dependent
  3. CThe conditional probability P(F1∣E1)P(F_1 \mid E_1) is equal to the conditional probability P(F1∣E2)P(F_1 \mid E_2)
  4. DThe conditional probability P(F1∣E1)P(F_1 \mid E_1) is greater than the conditional probability P(F2∣E2)P(F_2 \mid E_2)

Correct answer

A. The events E1E_1 and F1F_1 are independent

Step-by-step solution

Total balls in Box I =6+9=15= 6 + 9 = 15
Total balls in Box II =8+12=20= 8 + 12 = 20
Total balls in the mixture =15+20=35= 15 + 20 = 35
Total red balls =6+8=14= 6 + 8 = 14
Total green balls =9+12=21= 9 + 12 = 21

The probabilities of the given events are:
P(E1)=1535=37P(E_1) = \dfrac{15}{35} = \dfrac{3}{7}
P(E2)=2035=47P(E_2) = \dfrac{20}{35} = \dfrac{4}{7}
P(F1)=1435=25P(F_1) = \dfrac{14}{35} = \dfrac{2}{5}
P(F2)=2135=35P(F_2) = \dfrac{21}{35} = \dfrac{3}{5}

The joint probabilities are:
P(E1∩F1)=635P(E_1 \cap F_1) = \dfrac{6}{35}
P(E2∩F2)=1235P(E_2 \cap F_2) = \dfrac{12}{35}

For statement (A):
P(E1)P(F1)=37×25=635=P(E1∩F1)P(E_1) P(F_1) = \dfrac{3}{7} \times \dfrac{2}{5} = \dfrac{6}{35} = P(E_1 \cap F_1)
Thus, E1E_1 and F1F_1 are independent. Statement (A) is TRUE.

For statement (B):
P(E2)P(F2)=47×35=1235=P(E2∩F2)P(E_2) P(F_2) = \dfrac{4}{7} \times \dfrac{3}{5} = \dfrac{12}{35} = P(E_2 \cap F_2)
Thus, E2E_2 and F2F_2 are independent. Statement (B) is FALSE.

For statement (C):
P(F1∣E1)=P(E1∩F1)P(E1)=6/3515/35=25P(F_1 \mid E_1) = \dfrac{P(E_1 \cap F_1)}{P(E_1)} = \dfrac{6/35}{15/35} = \dfrac{2}{5}
P(F1∣E2)=P(E2∩F1)P(E2)=8/3520/35=25P(F_1 \mid E_2) = \dfrac{P(E_2 \cap F_1)}{P(E_2)} = \dfrac{8/35}{20/35} = \dfrac{2}{5}
Since P(F1∣E1)=P(F1∣E2)P(F_1 \mid E_1) = P(F_1 \mid E_2), statement (C) is TRUE.

For statement (D):
P(F2∣E2)=P(E2∩F2)P(E2)=12/3520/35=35P(F_2 \mid E_2) = \dfrac{P(E_2 \cap F_2)}{P(E_2)} = \dfrac{12/35}{20/35} = \dfrac{3}{5}
Since 25<35\dfrac{2}{5} < \dfrac{3}{5}, P(F1∣E1)P(F_1 \mid E_1) is not greater than P(F2∣E2)P(F_2 \mid E_2). Statement (D) is FALSE.

Answer: The events E1E_1 and F1F_1 are independent; The conditional probability P(F1∣E1)P(F_1 \mid E_1) is equal to the conditional probability P(F1∣E2)P(F_1 \mid E_2)
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