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Miscellaneous Examples · Example 23

Q.AA and BB throw a die alternatively till one of them gets a '6' and wins the game. Find their respective probabilities of winning, if AA starts first.

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The game is a sequence of independent Bernoulli trials (each die roll) where success is rolling a 6. Since A starts first, A wins on odd-numbered trials and B wins on even-numbered trials. Using the geometric distribution, A's probability is 611\frac{6}{11} and B's probability is 511\frac{5}{11}.

Why the Geometric Distribution?

When two players take turns rolling a fair die, and the first to roll a 6 wins, each roll is an independent trial with success probability p=16p = \frac{1}{6}. The game stops at the first success. This is exactly the setting of the geometric distribution — the number of trials until the first success.

But here, the "trials" are not independent in the sense of who gets to roll — they alternate between A and B. So we need to think in terms of rounds: each round consists of A's turn followed by B's turn. However, the game can end in the middle of a round if A wins immediately.

The key insight: A wins if the first success occurs on an odd-numbered trial (1st, 3rd, 5th, ...), and B wins if it occurs on an even-numbered trial (2nd, 4th, 6th, ...).

For a geometric distribution with success probability pp, the probability that the first success occurs on the kk-th trial is:

P(first success on trial k)=(1−p)k−1pP(\text{first success on trial } k) = (1-p)^{k-1} p

Here p=16p = \frac{1}{6}, so q=1−p=56q = 1-p = \frac{5}{6}.

Step-by-step solution

1. Probability that A wins on her first turn (trial 1)

A rolls and gets a 6 immediately. This happens with probability:

P(A wins on trial 1)=p=16P(\text{A wins on trial 1}) = p = \frac{1}{6}

2. Probability that A wins on her second turn (trial 3)

For this to happen, both A and B must fail on their first turns, then A succeeds on her second turn. That's two failures followed by a success:

P(A wins on trial 3)=q⋅q⋅p=(56)2⋅16P(\text{A wins on trial 3}) = q \cdot q \cdot p = \left(\frac{5}{6}\right)^2 \cdot \frac{1}{6}

3. Probability that A wins on her third turn (trial 5)

Now we need four failures (A fails twice, B fails twice) then A succeeds:

P(A wins on trial 5)=q4⋅p=(56)4⋅16P(\text{A wins on trial 5}) = q^4 \cdot p = \left(\frac{5}{6}\right)^4 \cdot \frac{1}{6}

4. Pattern for A's total probability

A wins on trials 1, 3, 5, 7, ... — that is, on odd-numbered trials 2n−12n-1 for n=1,2,3,…n = 1, 2, 3, \dots. Each such trial requires 2n−22n-2 failures before the success. So:

P(A wins)=∑n=1∞q2n−2p=p∑n=1∞(q2)n−1P(\text{A wins}) = \sum_{n=1}^{\infty} q^{2n-2} p = p \sum_{n=1}^{\infty} (q^2)^{n-1}

This is an infinite geometric series with first term pp and common ratio q2=(56)2=2536q^2 = \left(\frac{5}{6}\right)^2 = \frac{25}{36}.

Tip

The sum of an infinite geometric series ∑k=0∞rk=11−r\sum_{k=0}^{\infty} r^k = \frac{1}{1-r} when ∣r∣<1|r| < 1. Here r=q2=2536<1r = q^2 = \frac{25}{36} < 1, so it converges.

5. Computing A's probability

P(A wins)=p⋅11−q2=161−2536=161136=16⋅3611=611P(\text{A wins}) = p \cdot \frac{1}{1 - q^2} = \frac{\frac{1}{6}}{1 - \frac{25}{36}} = \frac{\frac{1}{6}}{\frac{11}{36}} = \frac{1}{6} \cdot \frac{36}{11} = \frac{6}{11}

6. Probability that B wins …

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