Answer:
We can start by finding the proportion of items that are not defective. Since 13% of items are defective, then 87% of items are not defective:
P(not defective) = 1 - P(defective) = 1 - 0.13 = 0.87
Next, we need to consider the probability that an item is classified as good by the inspector, given that it is actually good. This is the conditional probability:
P(classified as good | good) = 1 - P(misclassified | good)
We know that the inspector misclassifies an item 11% of the time, so the probability of correctly classifying a good item is:
1 - P(misclassified | good) = 1 - 0.11 = 0.89
Now we can use the multiplication rule to find the overall probability of an item being classified as good:
P(classified as good) = P(classified as good | good) * P(good)
P(classified as good) = 0.89 * 0.87 = 0.7743
Rounding to 3 decimal places, we get:
P(classified as good) ≈ 0.788
Therefore, approximately 0.788 or 78.8% of items will be classified as good