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a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 11.8 or greater than 12.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? 0,6171 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 617 b. Through process design improvements, the process standard deviation can be reduced to 0.08. Assume the process control remains the same, the probability of a defect (to4 decimals)? with weights less than 11.8 pr greater than 12,2 ounces being classified as defects. What 0.0455 0 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 46 C. What is the advantage of neducing process variation, thereby causing a problem limits to be at a greater number of standard deviations frat the mean? It can substantially reduce the nunber of defects. V

a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 11.8 or greater than 12.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? 0,6171 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 617 b. Through process design improvements, the process standard deviation can be reduced to 0.08. Assume the process control remains the same, the probability of a defect (to4 decimals)? with weights less than 11.8 pr greater than 12,2 ounces being classified as defects. What 0.0455 0 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 46 C. What is the advantage of neducing process variation, thereby causing a problem limits to be at a greater number of standard deviations frat the mean? It can substantially reduce the nunber of defects. V

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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Exercise 06.35 Algo (Normal Probability Distribution) « Question 12 of 16 Hint(s) Check My Work (1 remaining) 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 12 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 11.8 or greater than 12.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimais)? 0.6171 3 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 617 b. Through process design improvements, the process standard deviation can be reduced to 0.08, Assume the process control remains the same, with weights less than 11.8 or greater than 12,2 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? 0.0455 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 46 c. What is the advantage of neducing process variation thereby causinig a problem limits to be at 'a greater number of ständard deviations fra the mean? It can substantially reduce the nunber of defects. V
Transcribed Image Text:Exercise 06.35 Algo (Normal Probability Distribution) « Question 12 of 16 Hint(s) Check My Work (1 remaining) 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 12 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 11.8 or greater than 12.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimais)? 0.6171 3 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 617 b. Through process design improvements, the process standard deviation can be reduced to 0.08, Assume the process control remains the same, with weights less than 11.8 or greater than 12,2 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? 0.0455 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 46 c. What is the advantage of neducing process variation thereby causinig a problem limits to be at 'a greater number of ständard deviations fra the mean? It can substantially reduce the nunber of defects. V
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