Note: if graphs and tables are too small to be easily read. The point here is that lack of detail can invalidate your conclusion. If the reader cannot read the detail (eg axis label and units) how can they determine if you have correctly interpreted the graph? If they cannot, they have to assume you have not and your mark will be reduced.

Analysis:

Table 1: Raw Data (a sample of this table is linked here)

This should be neat (no horrible screenshots with extra cells showing around the tables, but no tables developed in a word processing program at all as this looks unprofessional), column headers should have units and uncertainties, all raw data given to the same number of decimal points as the instrumental uncertainty in the header above.

If you choose to remove data say why: e.g., “The point at x = 3 does not seem to fit the pattern in the data. It differs from the expected value by 18%. Inspection of the video indicates that the object was released with an initial horizontal velocity, providing a justification for its exclusion.”

NOTE: Where a large amount of data has been collected, only a sample of the data should be included. Your teacher must be shown the original full raw data.

Justification of Uncertainties and Sample Calculations: This section should be  restatement of where the uncertainties in the raw data came from, which were used in the processed data, how any experimental uncertainty was calculated (give the equation used, but numerical examples are not needed, extra support can be found here). There should also be an explanation if any uncertainties are being ignored. The instrumental uncertainty for the dependent variable is often ignored as the experimental uncertainty is usually bigger - but this needs to be stated and explained.

Table 2: Processed Data

This should be neat (no horrible screenshots with extra cells showing around the tables, but no tables developed in a word processing program at all as this looks unprofessional), have headers with units and uncertainties as appropriate.

Then we come to the visual representation of the data.

Figure X: graph showing the relationship between..... The first graph demonstrates the line of best fit and error bars for your results. The axis should have the same label (including units and measurement uncertainty if relevant) as the expected graph you produced in your hypothesis section (exploration). You should be investigating a linear relationship, based on your mathematical model. 

Figure Y: graph showing the relationship between..... with analysis lines The second graph demonstrates the line of maximum and minimum lines of best fit and error bars. The axis should have the same labels as the first graph (including units and instrumental uncertainty if relevant). 

NOTE: max and min lines should go through the majority of the data points if they have not this needs to be commented on. R squared values are meaningless in understanding experimental data and any comments made on these are ignored.