The process is properly assumed to be a Normal process is untrue. The confusion arises because the process performance or control is different from the distribution being normal. In the Normal Prob Plot, the P-value for the Anderson-Darling test is greater than 0.05, indicating that the distribution of the data is normal, but it doesn’t imply the process itself is properly assumed to be normal. Additionally, the majority of dimensional values are within tolerance limits, as evidenced by the histogram and individual charts showing most data points falling between the LSL and USL, making the statement that majority of the dimensional values are outside of tolerance untrue as well.