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Probability and Statistics

GATE CSE 2026 Set 2 · Q63

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Suppose an unbiased coin is tossed 6 times. Each coin toss is independent of all previous coin tosses. Let E1E_1 be the event that among the second, fourth, and sixth coin tosses, there are at least two heads. Let E2E_2 be the event that among the first, second, third, and fifth coin tosses, there are equal number of heads and tails. The conditional probability P(E1∣E2)P(E_1|E_2) is equal to __________. (rounded off to one decimal place)

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Official answer: 0.5

Probability and Statistics

Let the outcomes of the 6 tosses be denoted by T1,T2,T3,T4,T5,T6T_1, T_2, T_3, T_4, T_5, T_6.

  • E1E_1: Event that among {T2,T4,T6}\{T_2, T_4, T_6\}, there are at least 2 heads.

  • E2E_2: Event that among {T1,T2,T3,T5}\{T_1, T_2, T_3, T_5\}, there are exactly 2 heads and 2 tails.

Notice that only the toss T2T_2 is shared between E1E_1 and E2E_2.

We condition on the outcome of T2T_2:

Case 1: T2=HT_2 = H (probability =1/2= 1/2)

  • For E2E_2 to occur: Among the remaining 3 tosses {T1,T3,T5}\{T_1, T_3, T_5\}, exactly 1 head must appear.

    P(E2∣T2=H)=(31)23=38P(E_2 \mid T_2 = H) = \frac{\binom{3}{1}}{2^3} = \frac{3}{8}
  • For E1E_1 to occur: Among {T4,T6}\{T_4, T_6\}, at least 1 head must appear.

    P(E1∣T2=H)=1−P(0 heads)=1−14=34P(E_1 \mid T_2 = H) = 1 - P(\text{0 heads}) = 1 - \frac{1}{4} = \frac{3}{4}
  • Since {T4,T6}\{T_4, T_6\} are independent of {T1,T3,T5}\{T_1, T_3, T_5\}:

    P(E1∩E2∣T2=H)=34×38=932P(E_1 \cap E_2 \mid T_2 = H) = \frac{3}{4} \times \frac{3}{8} = \frac{9}{32}

Case 2: T2=TT_2 = T (probability =1/2= 1/2)

  • For E2E_2 to occur: Among {T1,T3,T5}\{T_1, T_3, T_5\}, exactly 2 heads must appear.

    P(E2∣T2=T)=(32)23=38P(E_2 \mid T_2 = T) = \frac{\binom{3}{2}}{2^3} = \frac{3}{8}
  • For E1E_1 to occur: Among {T4,T6}\{T_4, T_6\}, both tosses must be heads.

    P(E1∣T2=T)=14P(E_1 \mid T_2 = T) = \frac{1}{4}
  • Hence:

    P(E1∩E2∣T2=T)=14×38=332P(E_1 \cap E_2 \mid T_2 = T) = \frac{1}{4} \times \frac{3}{8} = \frac{3}{32}

Computing the Probabilities:

P(E2)=12×38+12×38=38P(E_2) = \frac{1}{2} \times \frac{3}{8} + \frac{1}{2} \times \frac{3}{8} = \frac{3}{8}
P(E1∩E2)=12(932)+12(332)=1264=316P(E_1 \cap E_2) = \frac{1}{2}\left(\frac{9}{32}\right) + \frac{1}{2}\left(\frac{3}{32}\right) = \frac{12}{64} = \frac{3}{16}

Conditional Probability:

P(E1∣E2)=P(E1∩E2)P(E2)=3/163/8=816=0.5P(E_1 \mid E_2) = \frac{P(E_1 \cap E_2)}{P(E_2)} = \frac{3/16}{3/8} = \frac{8}{16} = 0.5

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This Probability and Statistics previous year question is Q63 of the GATE CSE 2026 Set 2 paper. Find more GATE CSE PYQs on Probability and Statistics in Engineering Mathematics, or browse all GATE CSE PYQs.

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GateAI solution cardGATE CSE 2026 Set 2 · Q63 · NAT

Suppose an unbiased coin is tossed 6 times. Each coin toss is independent of all previous coin tosses. Let E1 be the event that among the second, fourth, and sixth coin tosses, there are at least two heads. Let E2 be the event that among the first, second, third, and fifth coin tosses, there are equal number of heads and tails. The conditional probability P(E1|E2) is equal to … (rounded off to one decimal place)

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