Question

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 \mid E_2) is equal to ____________. (rounded off to one decimal place)

Official answer and solution
Official answer
0.5
From
Official GATE 2026 answer key

Solution

Use the symmetry of fair coin tosses under complementing Heads and Tails (H↔TH \leftrightarrow T).

Notice that under the bijection that flips every coin toss (H↔TH \leftrightarrow T):

  • Event E2E_2 (having exactly 2 Heads and 2 Tails among tosses {1,2,3,5}\{1, 2, 3, 5\}) is invariant (E2E_2 holds for an outcome ω\omega if and only if E2E_2 holds for ω‾\overline{\omega}).
  • Event E1E_1 (at least 2 Heads among the 3 tosses {2,4,6}\{2, 4, 6\}) is mapped to its exact complement E1‾\overline{E_1} (at most 1 Head, i.e., at least 2 Tails among {2,4,6}\{2, 4, 6\}).

Since all outcomes are equally likely and E2E_2 is invariant under H↔TH \leftrightarrow T, exactly half of the outcomes in E2E_2 belong to E1E_1:

P(E1∣E2)=∣E1∩E2∣∣E2∣=12=0.5P(E_1 \mid E_2) = \frac{|E_1 \cap E_2|}{|E_2|} = \frac{1}{2} = 0.5
Final answer

0.5

The answer is the one in the official GATE answer key. The solution is this site's own explanation.

Source

Paper
GATE 2026 Computer Science and Information Technology - Session 2 (CS2)
Question
63 of 65
Section
Computer Science and Information Technology

Report an error in this question

GATE questions are the work of the organising institutes. This site is independent and is not affiliated with them.