This lab really fits into the theme of making precision measurements, estimating uncertainties, deciding when your data is “good enough”, etc. from Autumn quarter. But here it is in Winter quarter. Not that there is anything wrong with that.
I cast this two part lab as an exercise in developing a technique, quantifying and correcting for a known systematic effect, and characterizing how well it performs. There is NO experiment here.
To the point above, we are starting with the understanding that we expect a specific systematic to be present in the data as a result of how the scale works. The EXPECTATION is that there will be a systematic offset in the measured force with decreasing plate separation. Day 1 is about looking for this effect and quantifying it.
The above is an important distinction because students are supposed to compare their measurements to the EXPECTATION, which is verboten when you are doing an experiment. I.e. The theory of the force between plates of a capacitor predicts a certain relationship that the apparatus is supposed to follow and this is the metric.
In this context, another theme of day 1 is how do you know when your data are “good enough”? For this lab students need to collect data until they see a statistically significant deviation from the theoretical prediction. We are not doing least squares fitting for this lab, so students are expected to show that on a plot of the data vs the theory, given the size of the error bars on each data point, the deviation from theory is increasingly significant as plate separation gets smaller.