To determine the probability that out of a sample of 5 bulbs none is defective, follow these steps:
1. Total Bulbs: There are 100 bulbs in total.
2. Defective Bulbs: There are 10 defective bulbs, thus there are \(100 - 10 = 90\) non-defective bulbs.
3. Sample Size: We are selecting a sample of 5 bulbs.
4. Probability of Selecting a Non-Defective Bulb: The probability of selecting a non-defective bulb on the first draw is \(\frac{90}{100} = \frac{9}{10}\).
5. Independent Events: Assuming that each selection is independent and that bulbs are replaced after each draw (or the probability remains the same approximately if they are not replaced due to a large total number), the probability that all 5 bulbs selected are non-defective is given by:
\[\left(\frac{9}{10}\right)^5\]
Therefore, the probability that none of the 5 bulbs selected is defective is \((\frac{9}{10})^5\).
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 \( A_2 \)?