process manufactures items with a mean weight of 10 ounces. (a) The process standard deviation is 0.3, and the process control is set at plus or minus 1.3 standard deviations. Units with weights less than 9.61 or greater than 10.39 ounces will be classified as defects. Calculate the probability of a defect. (Round your answer to four decimal places.). 1936 Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.) 194 ✓defects (b) Through process design improvements, the process standard deviation can be reduced to 0.15. Assume the process control remains the same, with weights less than 9.61 or greater than 10.39 ounces being classified as defects. Calculate the probability of a defect. (Round your answer to four decimal places.) 0085 x Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.) 317 x defects (c) What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean? O Reducing the process standard deviation causes no change in the number of defects.

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You may need to use the appropriate technology to answer this question.
Suppose that a cell phone manufacturer uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production
process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations.
(a) The process standard deviation is 0.3, and the process control is set at plus or minus 1.3 standard deviations. Units with weights less than 9.61 or greater than 10.39 ounces will be classified as
defects.
Calculate the probability of a defect. (Round your answer to four decimal places.)
.1936
Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.)
194
✓
defects
(b) Through process design improvements, the process standard deviation can be reduced to 0.15. Assume the process control remains the same, with weights less than 9.61 or greater than
10.39 ounces being classified as defects.
Calculate the probability of a defect. (Round your answer to four decimal places.)
0085
x
Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.)
317
X defects
(c) What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean?
O Reducing the process standard deviation causes no change in the number of defects.
Reducing the process standard deviation causes a substantial reduction in the number of defects.
O Reducing the process standard deviation causes a substantial increase in the number of defects.
Transcribed Image Text:You may need to use the appropriate technology to answer this question. Suppose that a cell phone manufacturer uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. (a) The process standard deviation is 0.3, and the process control is set at plus or minus 1.3 standard deviations. Units with weights less than 9.61 or greater than 10.39 ounces will be classified as defects. Calculate the probability of a defect. (Round your answer to four decimal places.) .1936 Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.) 194 ✓ defects (b) Through process design improvements, the process standard deviation can be reduced to 0.15. Assume the process control remains the same, with weights less than 9.61 or greater than 10.39 ounces being classified as defects. Calculate the probability of a defect. (Round your answer to four decimal places.) 0085 x Calculate the expected number of defects for a 1,000-unit production run. (Round your answer to the nearest integer.) 317 X defects (c) What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean? O Reducing the process standard deviation causes no change in the number of defects. Reducing the process standard deviation causes a substantial reduction in the number of defects. O Reducing the process standard deviation causes a substantial increase in the number of defects.
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