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It is known that a particular company produces products of which 30% are defective. We select...
10. Multiple Choice Question It is known that a particular company produces products of which 30%...
10. Multiple Choice Question It is known that a particular company produces products of which 30% are defective. We select items at random and identify it as being defective or not. Calculate the probability that the sixth selected item will be the 3rd defective. A. 0.38282 B. 0.09261 C. 0.24518 D. 0.75494 E. none of the above 11. Multiple Choice Question Let X1,..., X10 be a random sample from a population with mean y and variance o?. Consider the following...
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 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?
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...
2-148. 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?
A company that produces car breaks has a 15% defective rate. Suppose we are interested in...
A company that produces car breaks has a 15% defective rate. Suppose we are interested in the number of defectives in a random sample of size 8 of their products. (If we think of getting a defective break as a “success” then this is an example of a binomial experiment!) What is the probability that the number of defective breaks in the random sample is 2 or less? Hint: You will need to use p(x) = n x p x...
we have four boxes. box #1 contains 2000 components of which 100 are defective. Box #2...
we have four boxes. box #1 contains 2000 components of which 100 are defective. Box #2 contains 500 components of which 200 are defective. boxes #3 and #4 each contain 1000 components with 100 of them being defective. a box is selected by ruling a fair four sided die and then a single item is randomly chosen from the box. a.What is the probability that the selected component is defective? b. if the selected item is defective, find the probability...
It is known that 10% of all the items produced by a particular manufacturing process are...
It is known that 10% of all the items produced by a particular manufacturing process are defective. From the very large output of a single day, 100 tems were selected at random Note 1: For the questions below, you need to use the standard normal distribution's cumulative probability table (available on LMS). Note 2: Do not apply the correction for continuity. a. What is the probability that at least 8 of the selected items are defective? P(X28) = 0.7486 (Round...
Please answer question 4 using the information from question 1. 1. Homework Unanswered It is known...
Please answer question 4 using the information from
question 1.
1. Homework Unanswered It is known that 30% of the products in a production line are defective. Products are inspected one by one until the first defective item is encountered. Let X= The number of products inspected until encountering the first defective item. Then the random variable X is: 4 Homework Unanswered Referring to exercise 1, given you inspected 3 items and none was defective, the probability that from now...
Please answer Question 4 using the information from part 1 Homework. Unanswered It is known that...
Please answer Question 4 using the information from part
1
Homework. Unanswered It is known that 30% of the products in a production line are defective. Products are inspected one by one until the first defective item is encountered. Let X= The number of products inspected until encountering the first defective item. Then the random variable X is: O A Bin(n;.3) о в Geom(.3) O C Poiss(.3) O D Bern(3) Homework. Unanswered Referring to exercise 1, given you inspected 3...
1. Daily production produces 50,000 balloons. It is known that theproduction process produces 0.004% defective balloons...
1. Daily production produces 50,000 balloons. It is known that theproduction process produces 0.004% defective balloons (i.e., the probability that a randomly selected balloon is defective is 0.00004). Whether one balloon is defective or not is independent of all other balloons. From one day’s production, estimate the chance of producing at least 3 defective balloons. 2. A shipment contains 100 I-Pods, 8 of which are defective. I sample 4I-Pods from the shipment of 100 I-Pods at random. Estimate the chance of...
10. Multiple Choice Question It is known that a particular company produces products of which 30% are defective. We select items at random and identify it as being defective or not. Calculate the probability that the sixth selected item will be the 3rd defective. A. 0.38282 B. 0.09261 C. 0.24518 D. 0.75494 E. none of the above 11. Multiple Choice Question Let X1,..., X10 be a random sample from a population with mean y and variance o?. Consider the following...
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?
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...
2-148. 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?
It is known that 10% of all the items produced by a particular manufacturing process are defective. From the very large output of a single day, 100 tems were selected at random Note 1: For the questions below, you need to use the standard normal distribution's cumulative probability table (available on LMS). Note 2: Do not apply the correction for continuity. a. What is the probability that at least 8 of the selected items are defective? P(X28) = 0.7486 (Round...
Please answer question 4 using the information from
question 1.
1. Homework Unanswered It is known that 30% of the products in a production line are defective. Products are inspected one by one until the first defective item is encountered. Let X= The number of products inspected until encountering the first defective item. Then the random variable X is: 4 Homework Unanswered Referring to exercise 1, given you inspected 3 items and none was defective, the probability that from now...
Please answer Question 4 using the information from part
1
Homework. Unanswered It is known that 30% of the products in a production line are defective. Products are inspected one by one until the first defective item is encountered. Let X= The number of products inspected until encountering the first defective item. Then the random variable X is: O A Bin(n;.3) о в Geom(.3) O C Poiss(.3) O D Bern(3) Homework. Unanswered Referring to exercise 1, given you inspected 3...
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