Final answer:
The probability that a randomly selected defective widget is of type A is 12.5%.
Step-by-step explanation:
The student asked about finding the probability that a randomly selected defective widget is of type A. To solve this, we can use Bayes' theorem. First, let's identify the probabilities given:
- P(A) = Probability that a widget is type A = 30% or 0.30.
- P(B) = Probability that a widget is type B = 70% or 0.70 (since there are only two types).
- P(Defective|A) = Probability that a widget is defective given it's type A = 1% or 0.01.
- P(Defective|B) = Probability that a widget is defective given it's type B = 3% or 0.03.
We need to find P(A|Defective), the probability that a randomly selected defective widget is type A. We can use the formula:
P(A|Defective) = [P(Defective|A) * P(A)] / [P(Defective|A) * P(A) + P(Defective|B) * P(B)]
Plugging in the values we get:
P(A|Defective) = [0.01 * 0.30] / [0.01 * 0.30 + 0.03 * 0.70]
P(A|Defective) = 0.003 / (0.003 + 0.021)
P(A|Defective) = 0.003 / 0.024 = 0.125
So, the probability that a randomly selected defective widget is of type A is 12.5%.