Motorola used the normal distribution to determine the probability of defects an

Question

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 7 ounces.

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 6.775 or greater than 7.225 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?


In a production run of 1000 parts, how many defects would be found (to the nearest whole number)?


Through process design improvements, the process standard deviation can be reduced to 0.09. Assume the process control remains the same, with weights less than 6.775 or greater than 7.225 ounces being classified as defects. What is the probability of a defect (to 4 decimals)?


In a production run of 1000 parts, how many defects would be found (to the nearest whole number)?

Explanation / Answer

µ = 8 s = 0.1 standardize x to z = (x - µ) / s P( 7.775

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