Math Problem Statement

A and B play a game with two others individually. The probability of A wining the game is 1/3 and that of Bis 2/5 Find the probability that only one of them is winner.

Solution

The problem asks for the probability that either A or B wins the game but not both. Let’s break it down step-by-step.

Notation:

  • Probability of A winning the game, P(A)=13P(A) = \frac{1}{3}
  • Probability of B winning the game, P(B)=25P(B) = \frac{2}{5}
  • The probability of A not winning, P(Ac)=1P(A)=113=23P(A^c) = 1 - P(A) = 1 - \frac{1}{3} = \frac{2}{3}
  • The probability of B not winning, P(Bc)=1P(B)=125=35P(B^c) = 1 - P(B) = 1 - \frac{2}{5} = \frac{3}{5}

We want to find the probability that only one of them wins, i.e., either A wins and B loses, or B wins and A loses.

Case 1: A wins, B loses

The probability for this scenario is P(A)×P(Bc)P(A) \times P(B^c): P(A wins and B loses)=P(A)×P(Bc)=13×35=15P(A \text{ wins and } B \text{ loses}) = P(A) \times P(B^c) = \frac{1}{3} \times \frac{3}{5} = \frac{1}{5}

Case 2: B wins, A loses

The probability for this scenario is P(B)×P(Ac)P(B) \times P(A^c): P(B wins and A loses)=P(B)×P(Ac)=25×23=415P(B \text{ wins and } A \text{ loses}) = P(B) \times P(A^c) = \frac{2}{5} \times \frac{2}{3} = \frac{4}{15}

Total Probability

Since these two cases are mutually exclusive (either A wins and B loses or B wins and A loses), we can add the probabilities: P(Only one wins)=15+415P(\text{Only one wins}) = \frac{1}{5} + \frac{4}{15} To add these, we need a common denominator: 15=315\frac{1}{5} = \frac{3}{15} So, P(Only one wins)=315+415=715P(\text{Only one wins}) = \frac{3}{15} + \frac{4}{15} = \frac{7}{15}

Thus, the probability that only one of them wins is 715\frac{7}{15}.

Would you like further clarification or more details?


Here are 5 related questions:

  1. What is the probability that neither A nor B wins?
  2. What is the probability that both A and B win?
  3. If the probability of A winning increased to 12\frac{1}{2}, how would the result change?
  4. How do probabilities change if A and B are dependent events?
  5. What is the complementary probability that both either win or lose together?

Tip: Probabilities are always between 0 and 1. When you add probabilities, make sure the events are mutually exclusive!