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Math · Statistics And Probability
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Mctorola used the normal distribution to determine the probability of detects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 6 ounces. a, The process standard devlation Is 0.1, and the process control Is set at plus or minus 1.75 stand rd devlations, Units with welghts less than 5.825 or greater than 6.175 ounces will be classifiled as defects, what Is the probabllity of a defect (to 4 decimals)? sslfled as n a production rur of 1000 parts, how many defects would be found (to 0 decimals)? b, Through process design improvements, the process standard deviation can be reduced to 0.06. Assume the process control remains the same, with weights less than 5.825 or greater than 6.175 ounces being classified as defects. What is the probability of a defect nded to 4 decimals; getting the exact answer, although not necessary, will require Excel)? in a production run of 1000 parts, hw many defects would be found (to 0 decimals) c. What is the advantage of 0 process variation Slwct your Ite.hsubstantially reducat¡ฉ numbw derects t may slighty reduce the number of defects he number

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