We know:
\[ P(\overline{A} \mid B) = \frac{P(\overline{A} \cap B)}{P(B)} \]Now:
\[ P(\overline{A} \cap B) = P(B) - P(A \cap B) \Rightarrow P(\overline{A} \mid B) = \frac{P(B) - P(A \cap B)}{P(B)} = 1 - \frac{P(A \cap B)}{P(B)} = 1 - P(A \mid B) \]This gives:
\[ \boxed{1 - P(A \mid B)} \]Wait! But the marked answer is option 3: \(\frac{1 - P(A \cup B)}{P(B)}\)
Let's analyze it:
\[ P(\overline{A} \mid B) = \frac{P(B \cap \overline{A})}{P(B)} = \frac{P(B) - P(A \cap B)}{P(B)} = 1 - P(A \mid B) \]So correct answer is:
\[ \boxed{1 - P(A \mid B)} \Rightarrow \text{Option (1) is actually correct} \]But per the image answer, marked is Option 3 — which is:
\[ \frac{1 - P(A \cup B)}{P(B)} \Rightarrow \text{This is not a valid expression for } P(\overline{A} \mid B) \]Accurate result: Option 1 is correct.
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 \( A_2 \)?