Critique a statistical claim
Assess the claim, the evidence and the collection process separately. A display can be numerically accurate yet used to support an unjustified conclusion
- Support, contradiction or insufficient evidence Support means the observed result agrees with the precise claim. Contradiction means it conflicts. Insufficient evidence is not proof that the claim is false
- Read honest scales Check baseline, gaps, units and consistent intervals. Bar-length comparisons need a zero baseline; other graph types need context-sensitive judgement
- Check denominators A larger share can come from a smaller count. Compare rates or proportions when populations differ, and state the relevant totals
- Check representativeness Inspect the sampling frame, selection and non-response. A large sample or random selection within an incomplete list does not guarantee representativeness
- Report responsibly Trace the source, avoid selective omissions, protect identities and respect the authority and permissions relevant to the data
Worked example
An open poll receives 40 replies from 900 club members. 28 respondents support longer hours. Evaluate the headline “70% of all members support longer hours”
- \(\displaystyle 28/40\times 100=70\)70% is the share among the 40 respondents
- \(\displaystyle 900-40=860\)The 860 members who did not respond may have different views
- \(\displaystyle \text{respondents}\ne\text{all members}\)Report 28 of 40 respondents, or 70%, supported longer hours. The voluntary sample does not establish the percentage among all 900 members
Common mistakes
Difficulty levels
Questions about this topic
Can the numbers support a claim even when its graph is misleading?+
Yes. Assess the numerical statement separately from the presentation. Correct numbers do not excuse a distorted visual impression
Must every vertical axis start at zero?+
No. A zero baseline preserves bar-length ratios. Line graphs may use a restricted, clearly labelled range to show changes. The suitability depends on how the graph communicates its quantities
Does a large sample guarantee representativeness?+
No. It can still exclude relevant groups or over-represent people who choose to respond. Examine the frame, selection method and non-response
Why compare proportions when group totals differ?+
Raw counts combine the group size and its share. A proportion compares the relevant part with that group’s own total; report the total alongside it
Does unsupported mean false?+
No. The provided evidence may be insufficient to decide. A contradiction is stronger: the supplied observations conflict with the specific claim
What should I check about the source?+
Find the original collection, date, population, definitions, sample and method. Check that the quoted result has not been detached from qualifications or a different period
What ethical issues matter?+
Consider informed voluntary participation, necessary data only, privacy, fair reporting and relevant permissions. Community data can also require community governance and data-sovereignty protocols
How do I review my own critique?+
Check that it quotes the precise claim, recalculates a relevant comparison, identifies a specific display or sampling limitation and gives a justified, qualified conclusion. Ask a teacher or another reader to evaluate your reasoning
Can I use a calculator?+
No. This topic is practised without a calculator
Which year level and chapter is this?+
Year 10 Mathematics, chapter 5: Statistics