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2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective...
2-148. An inspector working for a manufacturing company has a 98% 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 .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?
4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective...
4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective items and a 1% chance of incorrectly classifying a good item as defective. The company has evidence that 0.5% of the items its line produce are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an tem selected at random is classified as defective, what is the probability that it is indeed nonconforming? c) If...
2-172. An inspector working for a manufacturing com- pany has a 99% chance of correctly identifying...
2-172. An inspector working for a manufacturing com- pany 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 0.9% 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?
Narmal No Spac. Heading 1 Heading 2 tle Styles Paragraph 2-148. An inspector working for a...
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,...
Probability - Random Variables
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?
Problem 2. The Hit-and-Miss Manufacturing Company produces items that have a probability p of being defective....
Problem 2. The Hit-and-Miss Manufacturing Company produces items that have a probability p of being defective. These items are produced in lots of 150. Past experience indicates that p for an entire lot is either 0.05 or 0.25. Furthermore, in 90 percent of the lots produced, p equals 0.05 (so p equals 0.25 in 10 percent of the lots). These items are then used in an assembly and ultimately their quality is determined before the final assembly leaves the plant....
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?
4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective items and a 1% chance of incorrectly classifying a good item as defective. The company has evidence that 0.5% of the items its line produce are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an tem selected at random is classified as defective, what is the probability that it is indeed nonconforming? c) If...
2-172. An inspector working for a manufacturing com- pany 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 0.9% 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?
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,...
Problem 2. The Hit-and-Miss Manufacturing Company produces items that have a probability p of being defective. These items are produced in lots of 150. Past experience indicates that p for an entire lot is either 0.05 or 0.25. Furthermore, in 90 percent of the lots produced, p equals 0.05 (so p equals 0.25 in 10 percent of the lots). These items are then used in an assembly and ultimately their quality is determined before the final assembly leaves the plant....
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