a)P(classified as defective)=P(defective and classified as defective)+P(not defective and classified as defective)=0.005*0.95+(1-0.005)*0.01=0.01470
b)
P(defective given classified as defective)=P(defective and classified as defective)/P(classified as defective)
=0.005*0.95/0.01470=0.323129
c)
P(classified as non defective)=1-P(defective)=1-0.01470=0.9853
hence P(good given classified as non defective)=P(good and classified as non defective)/P(classified as non defective)
=0.995*0.99/0.9853=0.999746
hence P(good given
4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective...
2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the items its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?
2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the .ems its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?
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Narmal No Spac. Heading 1 Heading 2 tle Styles Paragraph 2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as detec- tive. The company has evidence that 1% of the .ems its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an item selected at random is classified as nondefective,...
An inspector has a 99%chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defective. The company has evidence that its line produces 0.9% of non-conforming items. Define event A: an item is actually conforming the requirement (i.e. a good part) Define even B: an item is classified as defective a) what is the probability that a defective item is incorrectly classified as a non-defective one? Write down the mathematical presentation and provide...
An inspector working for a manufacturing company has a 99% chance of correctly identifying defective items and a .5% chance of incorrectly classifying a good item asdefective. The company has evidence that its line produces .9% of nonconforming items.a) What is the probability that an item selected for inspection is classified as defective?b) If an item selected at random is classified as non-defective, what is the probability that it is indeed good?
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A manufacturing firm produces a product that has a ceramic coating. The coating is baked on to the product, and the baking process is known to produce 5% defective items. Every hour, 20 products from the thousands that are baked hourly are sampled from the ceramic-coating process and inspected. Complete parts a through c. a. What is the probability that 5 defective items will be found in the next sample of 20? The probability is that 5 defective items will...
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