We are given that \( x = \alpha, y = \beta, z = \gamma \) are positive integers satisfying the equation \( x + y + z = 12 \), and we are to find the probability that \( \alpha<\beta<\gamma \).
Total number of positive integral solutions:
\[ \text{Number of solutions to } x + y + z = 12 \text{ with } x, y, z \in \mathbb{Z}^+ = \binom{12 - 1}{3 - 1} = \binom{11}{2} = 55 \]
Favorable outcomes:
We need to count the number of integer solutions where \( \alpha<\beta<\gamma \), with all three variables positive integers and \( \alpha + \beta + \gamma = 12 \).
This is a classic case of counting strictly increasing positive integer triplets summing to 12. We find all such ordered triples \((\alpha, \beta, \gamma)\) with \( \alpha<\beta<\gamma \) and \( \alpha + \beta + \gamma = 12 \).
We list them manually or use a generating approach:
Thus, total number of favorable outcomes = 7
Required Probability:
\[ \frac{\text{Favorable}}{\text{Total}} = \frac{7}{55} \]
Final Answer: \( \boxed{\frac{7}{55}} \)
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 \( A_2 \)?