Year 9 Science · AC9S9I04

Representing and processing scientific data

Choose representations because they answer the investigation question: tables organise raw values, graphs reveal patterns, statistics summarise variation and models or…

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Key conceptTeach from the board

Representation is a reasoning choice. A line graph is useful for continuous change in an ordered variable such as time; a scatter plot shows association between paired numerical variables; a bar chart compares categories; a table preserves exact values. Statistics compress a dataset but can hide distribution or anomalies.

Axes need variable names and units. Scales should reveal the data honestly. A mathematical relationship or model is useful only when supported by the observed pattern and stated domain; do not force a trend line through data merely because software offers one.

Worked examplesWe do

Worked examples

AC9S9I04 - Representing and processing scientific data
Example 1

Choose a graph type for time–temperature data.

Example 2

Choose a graph type for three habitat categories and species counts.

Example 3

Add missing units/labels to a supplied graph.

Example 4

Compare mean and median for a dataset containing one extreme value.

Curriculum examplesCopied content

Australian Curriculum v9.0 — AC9S9I04: select/construct tables, graphs, statistics, models and mathematical relationships.

Victoria Levels 9–10 — VC2S10I04:Exact.

NSW Stage 5 — SC5-WS-05:Exact selects and uses tools to process and represent data.

LessonAC v9VictoriaNSW
Represent/process dataDirectDirectDirect WS-05
Choice/evaluationDirect applicationBand applicationStage 5 Working Scientifically
Questions and answersWith answers
  1. How do I choose a graph? Start with variable type and the scientific question.
  2. Why include units? A number without its measured quantity/unit can be scientifically ambiguous.
  3. Why use statistics? To summarise central tendency or spread, while recognising what summary loses.
  4. Does a trend line prove a relationship? It describes a pattern; causation requires stronger evidence.
Practice and reviewReady for practice
  • Any graph is acceptable if the numbers are correct. Graph type must fit variables and question.
  • The mean is always the best average. Outliers/skew can make median more informative.
  • A graph starting above zero is automatically dishonest. It can be valid if clearly scaled and interpreted, but may exaggerate visual differences.
  • Software chooses the science. Tools construct; students must justify the representation.
Curriculum alignmentStart here
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