Comparing your result quantitatively with the theory
What makes a comparison quantitative
The conclusion is the criterion that separates Achieved from Merit in this standard, and the difference is entirely in whether the comparison with theory is numerical.
- Achieved: state the equation or quantity from the graph, and compare it with the theory.
- Merit: make the comparison quantitative, including consideration of uncertainties.
Four ways to compare with a theory
Choose whichever your investigation supports — you do not need all four.
| Comparison | Use when |
|---|---|
| Type of relationship — the shape found versus the shape predicted | always; this is the minimum |
| Derived quantity versus accepted value — e.g. your against m s−2 | the theory contains a known constant |
| Experimental gradient versus theoretical gradient | the theory predicts a specific gradient value |
| Experimental intercept versus expected intercept | the theory predicts a specific intercept (often zero) |
The overlap test
This is the comparison Merit is asking for, and it takes one sentence.
- Write your experimental range: value uncertainty, expanded into a minimum and a maximum.
- Ask whether the theoretical value lies inside that range.
- State the answer explicitly.
- Inside the range → the data is consistent with the theory.
- Outside the range → the data does not support the theory as measured, and you must then discuss why — either the theory does not apply here, or there is a systematic error your uncertainty does not cover.
Percentage difference
A useful supporting number, but never a substitute for the overlap test:
- Compare this with your percentage uncertainty. If the difference is smaller than the uncertainty, the discrepancy is fully explained by experimental uncertainty.
- If the difference is much larger than the uncertainty, that is a real disagreement — say so.
Wording that works
"The gradient obtained was s2 m−1, giving m s−2. The accepted value of m s−2 lies within this range, and the percentage difference of is far smaller than my uncertainty, so my data supports the theory over the range of lengths tested ( m to m)."
That sentence contains the quantity, its uncertainty, the theoretical value, the overlap test, the percentage comparison, the verdict, and the range. That is a full Merit conclusion.
Worked ExampleDeciding whether the data supports the theory
A student tests by measuring force against separation. Linearising by plotting against gives a gradient of N m2. The theoretical gradient, calculated from the charges used, is N m2. Does the data support the theory?
Step 1 — Write out the experimental range
Step 2 — Apply the overlap test
The theoretical value N m2 lies just outside the top of that range. The data does not quite support the theoretical gradient.
Step 3 — Quantify how far outside
The difference () is slightly larger than the uncertainty () — a marginal disagreement, not a dramatic one.
Step 4 — Interpret honestly
The measured gradient is consistently low, and the shape of the relationship — a straight line against — is confirmed. So the inverse-square form of the theory is supported, while the magnitude is not quite. A systematic effect that reduces the measured force would explain this: charge leaking away from the spheres during the experiment (likely in humid air) would make every force reading too small, and a separation measured between the sphere surfaces rather than their centres would make every too small and every too large, both of which lower the gradient.