Working with statistical information in adult-life contexts. Reading and interpreting charts in news articles, bills, and reports. Calculating averages and ranges. Recognising basic probability. Critically evaluating statistical claims — when a graph is misleading, when a percentage is being used to manipulate, when a sample is too small to mean what someone is claiming.
This strand has a critical-numeracy thread that the FS Subject Content names but doesn’t dwell on. NEO’s framing is to make critical numeracy explicit — adult life is full of statistical persuasion, and a learner who can spot it has real protection.
Tested most directly by
- Pearson Edexcel FS Maths L2 — Handling information and data (Ofqual 2018 §5)
Also tested by
- Edexcel IGCSE 4MA1 AO3 (academic equivalent)
- AQA GCSE 8300 AO1 (Probability and Statistics content domains)
Cross-curriculum
- KS4 Maths — Statistics (academic equivalent)
- KS4 Maths — Probability (academic equivalent)
- Life and Work — Functional English — Reading adult-life texts (critical-evaluation kinship — detecting bias and persuasion in numerical and verbal form)
- Relating Intelligently — Module 2 (asking critical questions of presented data)
- GIGF — Module 5: Reporting and KPIs (KPIs, dashboards, honest reporting)
Suggested evidence types
- Critical-reading task: take a real news graph and identify what’s misleading
- Calculate averages and range from a real dataset (e.g. own monthly spending; weather across a month; phone-screen-time data)
- Probability reasoning on an everyday scenario (lottery, weather forecast, medical-test reliability)
- Annotated bill or report identifying what the figures actually mean
Critical numeracy
A learner who finishes Level 2 Functional Maths secure on this strand can recognise:
- A bar chart with a truncated y-axis (making small differences look large)
- A pie chart whose segments don’t add to 100%
- A “70% of doctors recommend…” claim with no sample size disclosed
- A percentage change reported without the base being given
- An “average” reported as mean when median would be more honest
This is curriculum-level training in resisting statistical manipulation. It belongs in adult life, in workplace literacy, and in democratic participation.