Created a quick python program to analyze machine performance to better understand how our distribution and shape may be effecting our 3 sigma calculations for pass/fail of our FAT process.
Knife Distribution Analysis.py - A simple visualization tool to understand the skew and kurtosis of our data and how well it fits the imperical rule of normality by manually calculating the integral under the line of best fit to the binned data. The better the data has even spacing between the .15%, 2.5%, 16%, 84%, 97.5%, and 99.85% calculations is a good indication of its normality.
machine 28.xlsx - An abridged version of our knife data from machine 28.
Machine 28.png - Visualization of the above data.
machine 28 june 26th.xlsx - An abridged version of our knife data from machine 28 from june 26th.
Machine 28 June 26th.png- Visualization of the above data.
Machine 28 Full.xlsx - A full data set of our machine 28 scores.
Machine 28 Full.png - Visualization of the above data.