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 \(\frac{2}{5}\).
Based upon the results of regular medical check-ups in a hospital, it was found that out of 1000 people, 700 were very healthy, 200 maintained average health and 100 had a poor health record.
Let \( A_1 \): People with good health,
\( A_2 \): People with average health,
and \( A_3 \): People with poor health.
During a pandemic, the data expressed that the chances of people contracting the disease from category \( A_1, A_2 \) and \( A_3 \) are 25%, 35% and 50%, respectively.
Based upon the above information, answer the following questions:
(i) A person was tested randomly. What is the probability that he/she has contracted the disease?}
(ii) Given that the person has not contracted the disease, what is the probability that the person is from category \( A_2 \)?