Lab Report Mistakes That Lose Marks: A Section-by-Section Checklist

Review each section against its job: methods explain what you did, results present observations, and discussion interprets them. My Perfect Writing’s engineering assignment support helps you structure and review your own work without generating experimental findings.

Keep the brief, rubric, lab notes and source data beside your draft. If you are still planning, use our lab-report structure guide. This checklist focuses on finding and correcting errors.

Make the introduction lead from relevant background to the actual aim and, where appropriate, a testable hypothesis. Do not invent a hypothesis retrospectively to match an unexpected finding.

If an abstract is required, write it last. Check that its method, main result and implication agree with the body. Replace vague descriptions with findings supported by the data, and follow your module’s word limit.

Report what you actually did rather than copying protocol instructions. Include relevant equipment, materials, conditions, sampling, analysis and deviations. Could a reader identify a critical setting or reproduce the procedure?

Monash University’s lab-report guidance explains the sections’ different functions. Use your department’s required voice and tense, and include details because they matter to the experiment.

Check table and figure labels, captions, axes, units, legends, sample sizes and text references. State what error bars represent: standard deviation and confidence intervals are different. Report only analyses you conducted and justify any exclusions transparently.

Weak: “The rate increased from 2 to 4.” Add the rate unit, conditions and relevant figure reference so the comparison is traceable. For dimensionless quantities, explain their meaning rather than inventing a unit.

Match precision to your measurements. For a closer review, see our results-section guide.

Explain what the findings suggest about the aim, theory and other evidence. Consider plausible alternatives. An unexpected result is not automatically a failed experiment, and a non-significant result does not prove there is no effect.

Replace “human error” with a specific source, mechanism and implication. A calibration offset might bias readings; variability between repeats might indicate imprecision. Do not claim a direction or size without evidence. Propose an improvement that addresses the limitation.

Use our discussion versus conclusion guide to keep interpretation separate from the final answer to the aim.

Fix errors in this order: data accuracy, method transparency, interpretation, then formatting. Record the location, problem and correction: “Figure 2 lacks concentration units; verify the notes and update the axis and caption.”

Keep original notes and data. If a measurement is missing, ask your supervisor about the permitted response; do not fabricate it. Check referencing and distinguish your findings from published claims before the final spelling review.