In problems involving binomial probability, always begin by identifying the number of trials (n) and the probabilities of success (p) and failure (q). The binomial probability formula allows you to calculate the probability of a specific number of successes (or defective bulbs in this case) in a fixed number of trials. When calculating probabilities for multiple outcomes, remember to add the individual probabilities for each possible value of \( k \) to get the total probability for a given range.
\(\frac{576}{1331}, \quad \frac{27}{1331}, \quad \frac{512}{1331} \text{ and } \frac{243}{1331}\)
Let the probability of drawing a defective bulb be \( p = \frac{3}{11} \) and the probability of drawing a good bulb be \( q = \frac{8}{11} \). Since the bulbs are drawn with replacement, the events are independent. Use the binomial probability formula:
\[ P(X = k) = \binom{n}{k} p^k q^{n-k}, \]
where \( n = 3 \) (number of draws) and \( k \) is the number of defective bulbs.
Probability of exactly one defective bulb (\( k = 1 \)):
\(P(X = 1) = \binom{3}{1} p^1 q^2 = 3 \cdot \left( \frac{3}{11} \right)^1 \cdot \left( \frac{8}{11} \right)^2.\)
\(P(X = 1) = 3 \cdot \frac{3}{11} \cdot \frac{64}{121} = \frac{576}{1331}.\)
Probability of more than two defective bulbs (\( k\(>\)2 \)): The only possibility is \( k = 3 \) (all three bulbs are defective):
\(P(X = 3) = \binom{3}{3} p^3 q^0 = 1 \cdot \left( \frac{3}{11} \right)^3 = \frac{27}{1331}.\)
Probability of no defective bulbs (\( k = 0 \)):
\(P(X = 0) = \binom{3}{0} p^0 q^3 = 1 \cdot \left( \frac{8}{11} \right)^3 = \frac{512}{1331}.\)
Probability of more than one defective bulb (\( k\(>\)1 \)): This includes \( k = 2 \) and \( k = 3 \). First calculate \( P(X = 2) \):
\(P(X = 2) = \binom{3}{2} p^2 q^1 = 3 \cdot \left( \frac{3}{11} \right)^2 \cdot \frac{8}{11}.\)
\(P(X = 2) = 3 \cdot \frac{9}{121} \cdot \frac{8}{11} = \frac{216}{1331}.\)
Now add \( P(X = 2) \) and \( P(X = 3) \):
\(P(X>1) = P(X = 2) + P(X = 3) = \frac{216}{1331} + \frac{27}{1331} = \frac{243}{1331}.\)
Final Probabilities:
Thus, the correct answer is option C.
Let the probability of drawing a defective bulb be \( p = \frac{3}{11} \) and the probability of drawing a good bulb be \( q = \frac{8}{11} \).
Since the bulbs are drawn with replacement, the events are independent. We will use the binomial probability formula:
\[ P(X = k) = \binom{n}{k} p^k q^{n-k}, \] where \( n = 3 \) (the number of draws) and \( k \) is the number of defective bulbs.
Step 1: Probability of exactly one defective bulb (\( k = 1 \)):
We substitute \( k = 1 \), \( p = \frac{3}{11} \), and \( q = \frac{8}{11} \) into the binomial formula: \[ P(X = 1) = \binom{3}{1} p^1 q^2 = 3 \cdot \left( \frac{3}{11} \right)^1 \cdot \left( \frac{8}{11} \right)^2. \] Simplifying this: \[ P(X = 1) = 3 \cdot \frac{3}{11} \cdot \frac{64}{121} = \frac{576}{1331}. \] Therefore, the probability of exactly one defective bulb is \( \frac{576}{1331} \).
Step 2: Probability of more than two defective bulbs (\( k > 2 \)): The only possibility here is \( k = 3 \) (all three bulbs are defective).
We calculate \( P(X = 3) \) as follows: \[ P(X = 3) = \binom{3}{3} p^3 q^0 = 1 \cdot \left( \frac{3}{11} \right)^3 = \frac{27}{1331}. \] Therefore, the probability of more than two defective bulbs is \( \frac{27}{1331} \).
Step 3: Probability of no defective bulbs (\( k = 0 \)):
For no defective bulbs, \( k = 0 \): \[ P(X = 0) = \binom{3}{0} p^0 q^3 = 1 \cdot \left( \frac{8}{11} \right)^3 = \frac{512}{1331}. \] Thus, the probability of no defective bulbs is \( \frac{512}{1331} \).
Step 4: Probability of more than one defective bulb (\( k > 1 \)): This includes the cases where \( k = 2 \) and \( k = 3 \). First, we calculate \( P(X = 2) \):
\[ P(X = 2) = \binom{3}{2} p^2 q^1 = 3 \cdot \left( \frac{3}{11} \right)^2 \cdot \frac{8}{11}. \] Simplifying: \[ P(X = 2) = 3 \cdot \frac{9}{121} \cdot \frac{8}{11} = \frac{216}{1331}. \] Now, we add \( P(X = 2) \) and \( P(X = 3) \) to find the total probability of more than one defective bulb: \[ P(X > 1) = P(X = 2) + P(X = 3) = \frac{216}{1331} + \frac{27}{1331} = \frac{243}{1331}. \]
Step 5: Final Probabilities:
Conclusion: Thus, the correct answer is option C.
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 \( A_2 \)?