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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 11 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 1 standard deviation. Units with weights less than 10.9 or greater than 11.1 ounces will be dassified as defects. What is the probability of a defect (to 4 decimals)? 0.0456 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 46 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 10.9 or greater than 11.1 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? 0.0124 In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 12 c. What is the advantage of reducing process variation, thereby causing a problem brits to be at a greater number of standard deviations from the mean? It can substantially reduce the number of defects