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NSW · Investigating Science
Investigating Science study scene
§-Exam trends
NSWInvestigating ScienceExam trends

Investigating Science exam trends & analysis (2019–2025)

Across 2019–2025, Scientific Investigations is examined most (124 questions), ahead of Science and Society (56 questions) and Fact or Fallacy? (45 questions). By topic, Data analysis, error and uncertainty, Variables and experimental design and Reliability, validity, accuracy and precision come up most, with Evaluating evidence and claims and Evidence-based policy in Australia also recurring.

Based on 230 questions across 7 official NESA exam papers, their marking guidelines and marking feedback.

Work in progress

These exam-trend insights are an early release. The frequencies, mark ranges and figures are still being verified against the official NESA past papers and may change. Treat them as a study guide, not a guarantee of what will be examined.

By module

Module 5
Scientific Investigations
124 questions
266 marks total
Module 6
Technologies
5 questions
22 marks total
Module 7
Fact or Fallacy?
45 questions
88 marks total
Module 8
Science and Society
56 questions
171 marks total

Every dot point, by exam frequency

Click any dot point for the full verbatim syllabus wording, worked answers and past questions.

Showing 27 of 27 dot points

Dot pointTimesMarks
Data analysis, error and uncertaintyM5

Poor axis scales obscured the trend

38×1–4
Variables and experimental designM5

Missed that a large sample is needed for cause-and-effect

28×1–7
Reliability, validity, accuracy and precisionM5

Described rather than explained the variable relationship

25×1–9
Evaluating evidence and claimsM7

Did not read all graph information correctly

22×1–7
Evidence-based policy in AustraliaM8

Did not provide supporting examples

21×1–7
Peer review and reproducibilityM5

Lacked specific peer-review examples

18×1–7
Science communication and the publicM8

Did not link the project to the public image of science

15×1–7
Risk assessment and ethics in scientific investigationM5

Weak on the role of the ethics committee

1–4
Correlation versus causationM7

Could not define correlation/causation or identify confounding variables

1–4
Logical fallacies and cognitive biasM7

Outlined celebrity status rather than a critical argument; confused with Hawthorne

1–4
Conflicts of interest in researchM8

Generalised about smoking instead of detailing misrepresentation or suppression

3–7
Indigenous knowledge and Western scienceM8

Did not identify a clear, specific partnership

1–4
Science versus pseudoscienceM7

Generalised rather than using relevant terms

1–3
Research ethics and the NHMRCM8

Did not link the code to specific ethical standards

3–4
Inquiry questions and hypothesesM5

Confused experimental aim with a hypothesis

1–2
Cochlear implant and Graeme ClarkM6

Described diagnostic tools generally rather than specific applications

2–6
Limitations of scientific technologyM6

Suggested changing the independent variable, altering the experiment

3–7
Primary and secondary dataM5

Did not distinguish primary and secondary source reliability

2–3
ANSTO OPAL research reactorM6
Climate denial and the scientific consensusM7
CSIRO Wi-Fi developmentM6
Flying Doctor radio and telehealthM6
Global climate science and the IPCCM8
Homeopathy and alternative medicineM7
HPV vaccine and Ian FrazerM6
Polymer banknotesM6
Wakefield's MMR vaccine claimM7
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