Te Matapae Huarere — Understanding Weather Forecasts
Weather forecasts use probability to express how likely different conditions are. When you see "70% chance of rain," that means out of many similar days, about 7 in 10 would have rain.
Understanding probability helps us make better decisions!
| Probability | Meaning | Example |
|---|---|---|
| 0% | Impossible | It will snow on a 30°C day |
| 25% | Unlikely | Scattered showers possible |
| 50% | Even chance | Might rain, might not |
| 75% | Likely | Rain expected |
| 100% | Certain | Guaranteed to rain |
Māori developed sophisticated knowledge for predicting weather:
The forecast says 40% chance of rain:
Tip: Consider the consequences. If getting wet would ruin your day, you might take an umbrella even for 20%!
For one week, record the forecast vs. what actually happened:
| Day | Forecast | Actual Weather | Accurate? |
|---|---|---|---|
What I learned about weather predictions:
Students will engage with this resource to develop statistical investigation skills — planning inquiries, collecting and analysing data, interpreting distributions, and communicating findings. Tūhuratanga (investigation) is framed as a tool for understanding our communities and environment in Aotearoa New Zealand.
Scaffold support: Provide structured investigation frameworks (PPDAC cycle templates) for entry-level access. Offer partially completed data tables for students who need additional support. Extend capable learners by asking them to critique a statistical claim from a news article, or to design their own community data investigation.
ELL / ESOL: Pre-teach statistical vocabulary (median, mode, range, distribution, sample, population). Pair visual representations (graphs, tables) with plain-language explanations. Allow students to discuss statistical ideas orally before writing. Encourage use of home language for initial sensemaking.
Inclusion: Statistical investigation offers natural differentiation — all students can engage with the same real-world question at different levels of mathematical complexity. Neurodiverse learners benefit from structured, step-by-step investigation processes. Use collaborative group investigation formats that distribute roles (data collector, recorder, analyst, presenter).
Mātauranga Māori lens: Tūhuratanga — the practice of careful investigation — resonates deeply with mātauranga Māori. The maramataka is a sophisticated data system: tracking environmental patterns, seasonal cycles, and ecological indicators over generations. Iwi environmental monitoring — counting kaimoana populations, tracking water quality, observing bird migrations — is applied statistical thinking. Framing statistics within community and environmental inquiry connects data to mana whenua responsibilities.
Prior knowledge: Students should have basic familiarity with data displays (bar graphs, dot plots). No prior statistical investigation experience required — the PPDAC inquiry cycle provides accessible scaffolding for first-time investigators.