Conclusions, limitations and improvements
Evaluation earns credit when each limitation is tied to evidence and matched with a specific improvement.
Link each limitation to its effect and propose a specific, practical improvement that reduces it.
By the end of this lesson, you can:
- draw conclusions from data;
- judge whether a relationship is supported;
- identify experiment-specific limitations;
- propose linked, workable improvements.
Evidence-based conclusions
State the trend and refer to the graph, gradient, intercept, uncertainty or scatter. Decide whether the results support the proposed relationship within experimental uncertainty.
Specific limitations
Avoid vague statements such as 'human error'. Explain the mechanism and consequence: a fiducial marker has finite width, oscillations decay rapidly, or a component heats and changes resistance.
Linked improvements
Match each limitation with a practical remedy. Use a video or light gate for fast motion, a set square to reduce parallax, insulation to reduce heat loss, or a larger range to improve gradient precision.
Try another worked problem
Attempt the question yourself, then reveal the examiner-style solution when you are ready.
Specific improvement
Improve parallax-prone ruler readings.
CHECK YOUR ANSWERReveal solution
Fix a perpendicular pointer close to the scale and view at eye level, or use a travelling microscope.
Mastery check
Which is the strongest evaluation statement?