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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 14 ounces. 3. The process standard deviation is 0.20 ounces, and the process control is set at plus or minus 0.75 standard deviations. Units with weighis less than 13.85 or greater than 14.15 ounces will be classied as defects. What is the probability of a defect (to 4 decimals)? .6170 0 [n a production run of 1000 parts, how many defects would be found (round to the nearest whole number)? 450 b. Through process design improvements, the process standard deviation can be reduced to 0.07 ounces. Assume the process control remains the same, with weights less than 13.85 or greater than 14.15 ounces being classied as defects. What is the probability of a defect (round to 4 decimals; if necessary)?| 0 [n a production run of 1000 parts, how many defects would be found (to the nearest whole number)? 0 c. What is the advantage of reducing process variation, thereby causing a problem limits to he at a greater number of standard deviations from the mean? s.....,............ v 0