Question:hard

Suppose an unbiased coin is tossed 6 times. Each coin toss is independent of all previous coin tosses. Let \(E_1\) be the event that among the second, fourth, and sixth coin tosses, there are at least two heads. Let \(E_2\) be the event that among the first, second, third, and fifth coin tosses, there are equal number of heads and tails.

The conditional probability \(P(E_1 \mid E_2)\) is equal to ____________. (rounded off to one decimal place)

Show Hint

Condition on the outcome of the second toss, since it is shared by both events, then combine the two branches using the independence of the remaining tosses.
Updated On: Jul 22, 2026
Show Solution

Correct Answer: 0.5

Solution and Explanation

Step 1: Count total equally likely outcomes.
Six fair coin tosses give $2^6=64$ equally likely outcomes in total. Instead of multiplying probabilities, this route counts outcomes directly, which gives a different way to reach the same answer.

Step 2: Restate what each event needs.
$E_1$ needs at least $2$ heads among tosses $2, 4, 6$. $E_2$ needs exactly $2$ heads and $2$ tails among tosses $1, 2, 3, 5$. Toss $2$ is shared by both events, while tosses $1, 3, 5$ belong only to $E_2$ and tosses $4, 6$ belong only to $E_1$.

Step 3: Count outcomes satisfying $E_2$.
Among the four tosses $1,2,3,5$, we need exactly $2$ heads out of $4$, which can happen in $\binom{4}{2}=6$ ways. Tosses $4$ and $6$ are free to be anything, giving $4$ combinations. So the number of outcomes satisfying $E_2$ is
\[ 6 \times 4 = 24 \]
out of $64$, giving $P(E_2)=24/64=3/8$, matching the direct binomial count.

Step 4: Split the $6$ arrangements of $E_2$ by whether toss $2$ is a head.
Out of the $\binom{4}{2}=6$ ways to place $2$ heads among tosses $1,2,3,5$: in $\binom{3}{1}=3$ of them toss $2$ is a head (with exactly $1$ of the remaining tosses $1,3,5$ also a head), and in $\binom{3}{2}=3$ of them toss $2$ is a tail (with exactly $2$ of $1,3,5$ heads).

Step 5: Count how tosses $4,6$ must fall for $E_1$ to hold, in each branch.
If toss $2$ is a head (the $3$ arrangements from Step 4), $E_1$ needs at least $1$ more head among tosses $4,6$. Out of the $4$ combinations of $(X_4,X_6)$, only $TT$ fails, so $3$ combinations work.
If toss $2$ is a tail (the other $3$ arrangements), $E_1$ needs both toss $4$ and toss $6$ to be heads, so only $1$ combination out of $4$ works.

Step 6: Multiply within each branch and add.
Head branch: $3$ arrangements of $1,2,3,5$ times $3$ working combinations of $4,6$ gives $9$ outcomes.
Tail branch: $3$ arrangements of $1,2,3,5$ times $1$ working combination of $4,6$ gives $3$ outcomes.
Total outcomes satisfying both $E_1$ and $E_2$:
\[ 9 + 3 = 12 \]

Step 7: Form the conditional probability as a ratio of counts.
\[ P(E_1 \mid E_2) = \frac{\text{outcomes in } E_1 \cap E_2}{\text{outcomes in } E_2} = \frac{12}{24} = \frac{1}{2} \]

Step 8: State the rounded value.
This is $0.5$ when rounded to one decimal place, matching the probability based calculation.
\[ \boxed{0.5} \]
Was this answer helpful?
0


Questions Asked in GATE CS exam