To find the value of \( k \), we need to ensure that the probability density function (PDF) integrates to 1 over its entire range. The PDF is given by: \[ f(x) = \begin{cases} k(4x - 2x^2), & 0 < x < 2 \\ 0, & \text{otherwise} \end{cases} \] We will integrate \( f(x) \) from 0 to 2 and set the result equal to 1: \[ \int_{0}^{2} k(4x - 2x^2) \, dx = 1 \] First, find the antiderivative of \( 4x - 2x^2 \): \[ \int (4x - 2x^2) \, dx = \left[ 2x^2 - \frac{2}{3}x^3 \right] \] Now, evaluate this from 0 to 2: \[ \left[ 2(2)^2 - \frac{2}{3}(2)^3 \right] - \left[ 2(0)^2 - \frac{2}{3}(0)^3 \right] = \left[ 8 - \frac{16}{3} \right] = \frac{24}{3} - \frac{16}{3} = \frac{8}{3} \] Set the result equal to 1 after multiplying by \( k \): \[ k \cdot \frac{8}{3} = 1 \] Solve for \( k \): \[ k = \frac{3}{8} \] Therefore, the value of \( k \) is \(\frac{3}{8}\).
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 \( A_2 \)?