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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 10 ounces. Use Table 1 in Appendix B. a. The process standard deviation is 0.1, and the process control is set at plus or minus 2.25 standard deviations. Units with weights less than 9.775 or greater than 10.225 ounces will be classied as defects. What is the probability of a defect [to 4 decimals)? In a production run of 1000 parts, how manyr defects would be found (to the nearest whole number)? b. Through process design improvements, the process standard deviation can be reduced to 0.09. Assume 1e process control remains the samer with weights less than 9.??5 or greater than 10.225 ounces being classied as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1000 parts, how manyr defects would be found (to the nearest whole number)? c. What is the advantage of reducing process variation? I Select v