To solve the problem, consider the nature of the game where Ram and Shyam take turns throwing a die to get a '1'. Ram starts first. We aim to find the probabilities of Ram and Shyam winning, respectively.
The sample space for a single die roll not resulting in '1' (i.e., the event of rolling a number from 2 to 6) has a probability:
\[ P(\text{Not } 1) = \frac{5}{6} \]
The probability of a '1' coming up is:
\[ P(1) = \frac{1}{6} \]
Let P be the probability that Ram wins the game. If Ram doesn't win on his first throw, Shyam will have the chance to throw next and their turns will continue alternately.
An expression for the probability P that Ram wins is:
\[ P = \frac{1}{6} + \frac{5}{6} \times P' \]
where \( P' \) is the probability that Ram wins given Shyam didn't roll a '1' (i.e., they jump back to the situation where it's Ram's turn again after a cycle of both playing, which has the probability \( P \)). Therefore:
\[ P' = P \]
Thus, the equation becomes:
\[ P = \frac{1}{6} + \frac{5}{6}P \]
Rearranging gives:
\[ P - \frac{5}{6}P = \frac{1}{6} \]
\[ \frac{1}{6}P = \frac{1}{6} \]
\[ P = 1 - \frac{5}{6} = \frac{6}{11} \]
Next, the probability that Shyam wins, denoted as \( P' \), is the complementary probability:
\[ P' = 1 - P = 1 - \frac{6}{11} = \frac{5}{11} \]
Thus, the probabilities of Ram and Shyam winning are \(\frac{6}{11}\) and \(\frac{5}{11}\) respectively, aligning with the given answer option \(\frac{6}{11},\frac{5}{11}\).
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 \( A_2 \)?