A lab report is judged on precision: clean method, honest results, correct calculations and sensible error treatment. A finished example makes the expected standard concrete.
Browse the model reports below, complete with results tables and worked calculations, and use them as reference material when writing up your own practicals.
A lab report is a formal write-up of a practical experiment, set in science, engineering and health science modules, that records what was tested, how, and what the resulting data actually shows.
Unlike an essay, a lab report is judged as much on precision as on argument: correct units, honest treatment of error, and a results table that a reader could recheck against the raw data.
Most undergraduate briefs ask for an individual write-up after a shared practical session, so two students working the same bench can submit reports with identical raw data but very different marks.
Word counts vary widely by discipline, from a tight 1,000-word chemistry write-up to a 3,000-word engineering report, though the underlying scientific structure stays consistent across nearly every department.
Marking usually weights the discussion and error analysis sections most heavily, since anyone can record a result, but explaining what that result means, and how confident to be in it, is the harder skill.
Health science and biomedical modules increasingly ask for a short reflective note alongside the results, connecting the lab result back to clinical or diagnostic relevance where that link is genuinely appropriate.
Lab reports follow a scientific structure closer to a published paper than to an essay. The table below sets out the sections examiners expect and what each one needs to contain.
| Section | Typical Purpose | Approx. Word Share |
|---|---|---|
| Abstract | Summarises the aim, method, key result and conclusion in one short paragraph | 5% |
| Introduction | States the aim, relevant theory and any hypothesis being tested | 15% |
| Method | Describes the procedure in enough detail for it to be repeated | 15% |
| Results | Presents raw and processed data in labelled tables, graphs and figures | 25% |
| Discussion | Interprets results, treats uncertainty and compares against expected values | 30% |
| Conclusion and References | States the outcome plainly and lists every source in the required style | 10% |
The weighting shifts slightly by discipline, a physics report leans harder on calculation detail, a biology one on methodology, but the six-part sequence itself barely changes across science departments.
Every results table needs a clear title, labelled columns with units, and a consistent number of decimal places, since inconsistent formatting is one of the fastest ways to lose easy marks.
Graphs should carry labelled axes, appropriate units, and where relevant a trend line or line of best fit, with the equation and R-squared value stated directly beneath or beside the figure.
Strong samples separate raw data, recorded exactly as measured, from processed data, calculated afterwards, so a marker can trace every number in the discussion back to where it originally came from.
Figure and table numbering matters more than students expect, since every one referenced in the discussion needs a matching, correctly numbered caption the reader can locate without searching back through the report.
Most briefs expect at least one worked calculation shown in full, not just a final answer, so the marker can follow the method and award partial credit even where the final figure is wrong.
Repeated calculations, the same formula applied across several data points, are usually shown once in full and then summarised in a table, keeping the main body focused on interpretation rather than arithmetic.
Every measurement carries some uncertainty, and a strong lab report states it explicitly, whether from instrument precision, human reaction time, or natural variation between repeated trials of the same procedure.
Discussion sections that compare a result against a known or theoretical value should express the difference as a percentage error, then explain which specific source of uncertainty most likely caused it.
Distinguishing random error from systematic error matters here too, since the two point towards different fixes, more repeat trials for one, recalibrated or replaced equipment for the other.
Percentage uncertainty calculated from instrument resolution should appear early in the results section, not introduced for the first time in the discussion, so the reader can judge precision throughout.
Read each sample results section first, checking table formatting, units and decimal consistency, before moving to the discussion to see how the writer actually interpreted those same numbers.
Pay close attention to how uncertainty is worded in the discussion, since vague phrases like "human error" earn few marks compared with a named, specific source tied to the actual procedure.
Compare a sample's worked calculation against its results table to check the method is followed through consistently, a habit worth building before you sit down to process your own raw data.
Treat every sample on this page as reference material for learning purposes only, useful for structure and method, never as a document to submit as your own experimental write-up.
If your brief covers calculations or a structure you have not written before, our report writing service can help you plan the sections before lab time runs out.
These lab report samples sit within a wider set of report writing samples, useful for comparing structure across business, technical and scientific report formats side by side.
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