Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 9 ounces. ♥ a. The process standard deviation is 0.15, and the process control is set at plus or minus 1 standard deviation. Units with weights less than 8.85 or greater than 9.15 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? O 0.0164 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 16 b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume the process control remains the same, with weights less than 8.85 or greater than 9.15 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? 0.9949 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 5 c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater number of standard deviations from the mean? It can substantially reduce the number of defects. v
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 9 ounces. ♥ a. The process standard deviation is 0.15, and the process control is set at plus or minus 1 standard deviation. Units with weights less than 8.85 or greater than 9.15 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? O 0.0164 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 16 b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume the process control remains the same, with weights less than 8.85 or greater than 9.15 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? 0.9949 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 5 c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater number of standard deviations from the mean? It can substantially reduce the number of defects. v
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)?
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Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a
production process produces items with a mean weight of 9 ounces.
a. The process standard deviation is 0.15, and the process control is set at plus or minus 1 standard deviation. Units with weights less than 8.85 or
greater than 9.15 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?
My ASU
5
In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)?
C
X
It can substantially reduce the number of defects. V
b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume the process control remains the same,
with weights less than 8.85 or greater than 9.15 ounces being classified as defects. What is the probability of a defect (to 4 decimals)?
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C
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c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater number of standard deviations from the
mean?
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