Here, we were trying to see the trend of the datasets from previous experiments.
Error analysis is proposed to see which equations fit each datasets the best.
Another datasets example is analyzed to determine which polynomial fit suits the best. The third and fourth degree of polynomial were found to be the best.
Another raw data of sedimentation was looked at different angle to get a better sense of parameters that actually effect the curve.
Data is normalized and Lineweaver-Burke data analysis was applied.
We were interested to find out how much the data fluctuates during settling in a given experiment if repeated several times and how this might impact our results.