Answer:
The average thickness in the sample is 1.9625 and the standard deviation is .209624.
The probability that the thickness is greater than 2.4 is
Z = (2.4 – 1.9625)/.209624 = 2.087068 1 - NORMSDIST(2.087068) = .018441 fraction defective,
so 1.8441 percent of the washers are expected to have a thickness greater than 2.4.
Explanation: