Let's determine the probability of player B winning when A and B throw a die alternately, and A starts first. To win, a player needs to roll a number greater than 4 (i.e., 5 or 6). The probability of rolling a number greater than 4 with a fair die is:
\(P(\text{win}) = \frac{2}{6} = \frac{1}{3}\)
Conversely, the probability of not winning (rolling 1, 2, 3, or 4) is:
\(P(\text{not win}) = \frac{4}{6} = \frac{2}{3}\)
Let \(P_B\) be the probability that B wins the game. There are two scenarios where B can win:
\(P(\text{A doesn't win first roll}) \times P(\text{B wins}) = \frac{2}{3} \times \frac{1}{3} = \frac{2}{9}\)
\(P(\text{A doesn't win first roll}) \times P(\text{B doesn't win}) \times P_B = \frac{2}{3} \times \frac{2}{3} \times P_B\)
Since both scenarios are mutually exclusive, we can sum up these scenarios to get the total probability of B winning:
\(P_B = \frac{2}{9} + \frac{4}{9}P_B\)
Solving for \(P_B\):
\(P_B - \frac{4}{9}P_B = \frac{2}{9}\)
\(\frac{5}{9}P_B = \frac{2}{9}\)
\(P_B = \frac{2}{9} \times \frac{9}{5}\)
\(P_B = \frac{2}{5}\)
Thus, the probability of B winning the game is \(\frac{2}{5}\).
If A is any event associated with sample space and if E1, E2, E3 are mutually exclusive and exhaustive events. Then which of the following are true?
(A) \(P(A) = P(E_1)P(E_1|A) + P(E_2)P(E_2|A) + P(E_3)P(E_3|A)\)
(B) \(P(A) = P(A|E_1)P(E_1) + P(A|E_2)P(E_2) + P(A|E_3)P(E_3)\)
(C) \(P(E_i|A) = \frac{P(A|E_i)P(E_i)}{\sum_{j=1}^{3} P(A|E_j)P(E_j)}, \; i=1,2,3\)
(D) \(P(A|E_i) = \frac{P(E_i|A)P(E_i)}{\sum_{j=1}^{3} P(E_i|A)P(E_j)}, \; i=1,2,3\)
Choose the correct answer from the options given below:
Let A and B be two events such that: \[ P(A) = 0.8, \quad P(B) = 0.5, \quad P(B|A) = 0.4 \]
Match List-I with List-II:
| List-I | List-II |
|---|---|
| (A) \(P(A \cap B)\) | (I) 0.2 |
| (B) \(P(A|B)\) | (II) 0.32 |
| (C) \(P(A \cup B)\) | (III) 0.64 |
| (D) \(P(A')\) | (IV) 0.98 |