A manufacturing process output is assumed to follow a normal distribution with mean value and standard deviation . The specifications for the process are in terms of a dimension and given as 300 plusminus 0.05 mm. Standard deviation =0.01389 , mean= 300.0125 From this the process capability indexes Cp and Cpk are computed and found to be 1.2 and 0.9. After some time, it is found that although measurement data confirms the estimates of and , the number of reject parts far exceeds the expected number. You suspect this is because the process is not following a normal distribution, but some other p(x). As a first guess, you assume it is a uniform distribution with the same observed and as above.

d) If that is true, how many reject parts should be observed?