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How to explain scientific results without overstating them

Distinguish a result from an explanation, check units and discuss uncertainty using an original data example.

By Australian Study Resources · Updated 2026-11-04

Describe the result before explaining it

Record what was measured, the conditions and the direction of the change. Keep the observation separate from the mechanism you propose. A graph can show an association without establishing that one variable caused the other. Identify which variables were deliberately changed and which were kept consistent before choosing causal language.

Use a small original data example

Imagine a classroom investigation comparing dissolving time at two water temperatures. Three trials at the lower temperature take 80, 84 and 82 seconds; three at the higher temperature take 50, 54 and 52 seconds. The means are 82 and 52 seconds, a difference of 30 seconds. These invented values illustrate data commentary and do not establish a universal relationship for all substances or conditions.

Connect the pattern to a testable explanation

A careful answer first reports that the measured mean time was lower in the warmer condition. It then offers an explanation appropriate to the substance and course, and checks whether stirring, particle size and amount of material were controlled. If those conditions changed too, avoid attributing the entire difference to temperature. Separate the numerical result from the confidence you have in its explanation.

Make the limitation actionable

Instead of writing only that human error occurred, identify a specific issue: for example, the endpoint was judged by eye. Explain how that could affect the measured time and propose a more consistent endpoint rule. Repetition can help reveal variation, but repeating the same biased procedure does not remove that bias. Finish by stating what the data support and what would need further testing.

Find resources for your next attempt

  • Browse free study notes on ATARMAXXING

    Use notes to check a term or mechanism, then return to the actual data and explain the result in your own words. Check that the notes match your course.

Continue with a related guide

Methodology

Original editorial guidance and illustrative examples prepared on 4 November 2026. These exercises are not official assessment questions and do not specify syllabus requirements.