Event \(B\) indicates that the first throw is a 4 and the second throw is a 5. The probability of event \(B\) occurring is independent of event \(A\). Since the die is fair, the probability of rolling a 6 on any throw is \(\frac{1}{6}\).
Therefore, the probability of \(A\) given that \(B\) has already occurred is:
\[ P(A|B) = P(A) = \frac{1}{6}. \]
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 \( A_2 \)?