Could you answer theses. and lable them neatly.

Instructions: Answer the following three questions in this Word file. After seeing that your measurement system at final test was not acceptable, you developed written procedures for the final test process, trained all inspectors in it, and conducted another MSA to determine whether the final test measurement system is now acceptable. The new MSA showed total Gage R\&R variation at 8.52% of total, so this proved that you are now capable of accurate measurements at final test. Your next goal is to verify the defect rate that TTI is reporting to you. To do this, you know you must have a stable process, so you monitor the process and collect 25 days of data on the dimension your Pareto chart showed to be the highest failing dimension on the lens purchased by TTI. Question \# 1: Why do you need to analyze your process data on a control chart at this point - why can't you just look at the test results to know the percent defective? What is the benefit of using a control chart? (Type your answer in here.) Fortunately, the control chart was found to be stable and normally distributed with an average thickness of 0.2817 inches and a standard deviation of 0.013 inches, so you can now accurately calculate the baseline sigma level and parts per million (PPM) defective for this dimension. It has an upper specification limit of 0.3 inches and a lower specification limit of 0.25 inches. Question \#2: What is the sigma level for this dimension? (Round your final answer to 2 decimal places but don't round any of the values given to youl) Sigma Level = Show your work here. Question \#3: What is this sigma level in parts per million (PPM) defective? (Show / explain your work here.)