Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production proce Assume a production process produces items with a mean weight of 9 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 8.8 or greater than 9.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? 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 8.8 or greater than 9.2 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)?

Given that,

The mean weight of the items is 9 ounces.

The standard deviation is 0.10 ounces.

The process control is set at  standard deviation, which means defects are defined as items with weights less than 8.8 or greater than 9.2 ounces.