Year 10 Science · AC9S10I05

Analyse Patterns and Relationships in Evidence

Scientific analysis connects multiple sources of data and information to identify trends, patterns, relationships and anomalies. Conclusions should distinguish what the…

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Learning goalsSay it simply

Analysis explains patterns, relationships and anomalies by comparing data sources and scientific models.

By the end of this lesson, you should be able to:

  • Comparable data can reveal converging patterns or conflicts.
  • Anomalies and uncertainty affect interpretation.
  • Explanations connect data patterns to scientific mechanisms or models.
Key conceptTeach from the board

Learning sequence: Describe each data set → Align variables and scales → Find convergence or conflict → Explain with a model

Core teaching

  • Comparable data can reveal converging patterns or conflicts.
  • Anomalies and uncertainty affect interpretation.
  • Explanations connect data patterns to scientific mechanisms or models.

Key vocabulary and ideas

  • source A
  • source B
  • shared pattern
  • anomaly
  • model-based explanation
Worked examplesWe do

Worked examples

AC9S10I05 - Analyse Patterns and Relationships in Evidence
Example 1

Worked reasoning model Fossil sequence, homologous structures and DNA similarity show related patterns among species. No single line is complete, but convergence supports common ancestry. Conflicts prompt checks of dating, sampling or the evolutionary model rather than silent removal.

Example 2

Fossil sequence, homologous structures and DNA similarity show related patterns among species.

Example 3

No single line is complete, but convergence supports common ancestry.

Example 4

Conflicts prompt checks of dating, sampling or the evolutionary model rather than silent removal.

Curriculum examplesCopied content

Australian Curriculum v9.0 — AC9S10I05: analyse and connect a variety of data and information to identify and explain patterns, trends, relationships and anomalies

Victoria — VC2S10I05, Levels 9–10: Levels 9–10 analysis of patterns, trends, relationships and anomalies in data and information. Victorian Science is banded across Levels 9 and 10, so the VC2S10 code identifies the band rather than a single school year.

NSW: Stage 5 Working scientifically — analyses data to identify trends, patterns and relationships and draws conclusions (SC5-WS-06). Where NSW places the closest concept in another Stage or spreads it across focus areas, this page states that relationship rather than claiming a false one-to-one Year 10 equivalent.

Lesson componentAustralian CurriculumVictoriaNSW
Concept teaching + examplesAC9S10I05VC2S10I05SC5-WS-06
Practice + reasoningApplies the descriptor through explanation, evidence and transferLevels 9–10 achievement-standard depthStage 5/related Working scientifically expectations where applicable
Assessment + masteryChecks knowledge plus evidence-based applicationChecks band-level understandingChecks relevant NSW outcome intent without forcing equivalence
Questions and answersWith answers
What is the central idea?
Analysis explains patterns, relationships and anomalies by comparing data sources and scientific models.
What should a strong response do?
Use the sequence Describe each data set → Align variables and scales → Find convergence or conflict → Explain with a model. Connect the evidence, mechanism or data to the claim.
What common trap should I avoid?
Different sources can be averaged immediately: Check units, definitions, sampling and comparability first.
Practice and reviewReady for practice
  • Different sources can be averaged immediately: Check units, definitions, sampling and comparability first.
  • An anomaly invalidates the whole data set: Test its cause and influence on the relationship.

Keep the Year 10 boundary: Do not combine incompatible data without transformation or caveat. Do not infer cause from pattern alone without design or mechanism.

  1. Analyse a dataset with a clear overall trend and one anomaly. Describe the trend, quantify it where possible, investigate the anomaly and state a justified conclusion.
  2. Two datasets show similar averages but different spread. Explain how that difference could change the scientific interpretation.
  3. A media claim says one variable causes another because the two rise together. Evaluate the claim using the distinction between association, mechanism and controlled evidence.

Review hint: Use precise scientific vocabulary, show the relevant mechanism or evidence, and state any limitation or uncertainty when the evidence does not justify a stronger claim.

Curriculum alignmentStart here

Analysis explains patterns, relationships and anomalies by comparing data sources and scientific models.

By the end of this lesson, you should be able to:

  • Comparable data can reveal converging patterns or conflicts.
  • Anomalies and uncertainty affect interpretation.
  • Explanations connect data patterns to scientific mechanisms or models.
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