1. Measure your own part that was printed. Use the digital calipers and use the units of mm. Measure 6 times in x-axis, 6 times in y-axis and 6 times in zaxis.
Rezero the calipers between each measurement. Work in pairs with one person measuring and one person writing down the value, then switch.
Measure x, then y, then z and then rezero the calipers and repeat. The x-axis will be in the direction of the lettering. The y-axis is orthogonal to the lettering and the z-axis is the thickness of the block. Look at all the data to identify any obvious errors. Reprint and/or correct any errors.
2. Everyone measure the part n+1. I.e., student 1 measures part 2, student 2 measures part 3, etc... Student 21 will measure part 1.
3. Collect all this data together into a single spreadsheet.
4. Make the following plots and comparisons:
a) Make a plot of the set 1 data vs. the set 2 data. Calculate the signal to noise for the entire data set.
b) Make a plot of the average of 3 measurements from set 1 and 3 measurements from set 2. Calculate the signal to noise for the average of 3 data sets.
c) Make a plot of the average of 6 measurements form set 1 and 6 measurements form set 2. Calculate the signal to noise for the average of 6 data sets.
d) Calculate the reduction in noise between single measurements, average of 3 measurements and average of 6 measurements.
e) Correlate the fit of the reduction in noise vs. the number of averages (n)
f) Compare your results to a fit for a reduction in noise of 1/n^0.5
g) Complete 6 vs. 6 endcounts for each set of measurements between each n and n+1 measurement. Identify when the sets are different with about 95% confidence
5. Plot the following data.
a) Actual dimension vs. average measured dimension for the x-axis
b) Actual dimension vs. average measured dimension for the y-axis
c) Actual dimension vs. average measured dimension for the z-axis
d) Attempt to explain the data