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Motorola used the normal distribution to determine the probability of defects and the number of defects expected production process. Assume a production process produces items with a mean weight of 15 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2 standard devi Units with weights less than 14.8 or greater than 15.2 ounces will be classified as defects. What is the probability defect (to 4 decimals)? .3174 In a production run of 1000 parts, how many defects would be found (round to the nearest whole number)? 317.4 b. Through process design improvements, the process standard deviation can be reduced to 0.08 ounces. Assum process control remains the same, with weights less than 14.8 or greater than 15.2 ounces being classified as de What is the probability of a defect (round to 4 decimals; if necessary)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater numb standard deviations from the mean?

Motorola used the normal distribution to determine the probability of defects and the number of defects expected production process. Assume a production process produces items with a mean weight of 15 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2 standard devi Units with weights less than 14.8 or greater than 15.2 ounces will be classified as defects. What is the probability defect (to 4 decimals)? .3174 In a production run of 1000 parts, how many defects would be found (round to the nearest whole number)? 317.4 b. Through process design improvements, the process standard deviation can be reduced to 0.08 ounces. Assum process control remains the same, with weights less than 14.8 or greater than 15.2 ounces being classified as de What is the probability of a defect (round to 4 decimals; if necessary)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater numb standard deviations from the mean?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 15 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2 standard deviation Units with weights less than 14.8 or greater than 15.2 ounces will be classified as defects. What is the probability of defect (to 4 decimals)? .3174 In a production run of 1000 parts, how many defects would be found (round to the nearest whole number)? 317.4 b. Through process design improvements, the process standard deviation can be reduced to 0.08 ounces. Assume th process control remains the same, with weights less than 14.8 or greater than 15.2 ounces being classified as defects What is the probability of a defect (round to 4 decimals; if necessary)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater number o standard deviations from the mean? - Select your answer -
Transcribed Image Text: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 15 ounces. a. The process standard deviation is 0.10 ounces, and the process control is set at plus or minus 2 standard deviation Units with weights less than 14.8 or greater than 15.2 ounces will be classified as defects. What is the probability of defect (to 4 decimals)? .3174 In a production run of 1000 parts, how many defects would be found (round to the nearest whole number)? 317.4 b. Through process design improvements, the process standard deviation can be reduced to 0.08 ounces. Assume th process control remains the same, with weights less than 14.8 or greater than 15.2 ounces being classified as defects What is the probability of a defect (round to 4 decimals; if necessary)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process variation, thereby causing a problem limits to be at a greater number o standard deviations from the mean? - Select your answer -
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