Given that two dice are thrown, the sum of numbers appearing can be any integer from 2 to 12. Let's determine the probability for specific sums.
The pairs that give a sum of 6 are: (1,5), (2,4), (3,3), (4,2), (5,1). Thus, there are 5 successful outcomes. The sample space when throwing two dice is 6×6=36. Therefore, the probability \( P(S=6) \) is \( \frac{5}{36} \).
The pairs that give a sum of 8 are: (2,6), (3,5), (4,4), (5,3), (6,2). Thus, there are also 5 successful outcomes. Therefore, the probability \( P(S=8) \) is also \( \frac{5}{36} \).
The complement probability is used to calculate the probability of the event occurring at least once: If \( A \) is the event that a sum appears at least once in 9 trials, then the complement event \( A' \) is that the sum does not appear in all 9 trials.
Let \( \bar{P_1} \) be the probability that a sum of 6 does not appear in a single trial, so \( \bar{P_1} = 1 - \frac{5}{36} = \frac{31}{36} \). Thus, the probability that 6 does not appear in all 9 trials is \( \left(\frac{31}{36}\right)^9 \). Therefore, the probability that 6 appears at least once, \( P_1 \), is:
\( P_1 = 1 - \left(\frac{31}{36}\right)^9 \).
Similarly, the probability that a sum of 8 does not appear in a single trial is the same, \( \bar{P_2} = \frac{31}{36} \). The probability that 8 does not appear in all 9 trials is \( \left(\frac{31}{36}\right)^9 \). Thus, the probability that 8 appears at least once, \( P_2 \), is:
\( P_2 = 1 - \left(\frac{31}{36}\right)^9 \).
Since \( P_1 \) and \( P_2 \) can be expressed similarly, \( P_1 : P_2 = 1 : 1 \).
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 \( A_2 \)?