Best for
Years 7-10 students ready to move from basic chance language into investigation, trial data, and the difference between theoretical and experimental probability.
Pāngarau / Mathematics • Statistics • Years 7-10
Predicted probability and actual trial results do not always match perfectly. This investigation helps students compare theory with evidence and explain why short runs can vary.
This version is ready for tomorrow. If you want a class set with differentiated event structures, local sports or weather contexts, or assessment-ready extension prompts, Te Wānanga can generate those variants quickly.
The investigation structure is already built into this page.
This handout is strongest where students are comparing predicted and observed chance, including the language of theoretical probability, experimental probability, and complementary events.
People use probability when they judge weather forecasts, game strategies, injury risk, traffic, and election predictions. Students need to understand that short runs can vary while still being compatible with the same underlying chance.
That idea matters for science, sport, media claims, and later statistics work. A mātauranga Māori lens also values patient observation over quick overclaiming, which makes this comparison between evidence and expectation especially worth teaching carefully.
What we predict from the structure of the event before any trials begin.
What the results look like after we run the event and count what happened.
The chance that the chosen event does not happen.
| Trial option | Theoretical probability of the chosen event | Complementary event |
|---|---|---|
| Flip a fair coin and track heads | ||
| Roll a fair die and track numbers greater than 4 | ||
| Spin a fair spinner with 8 equal sections and track landing on a star when 3 sections are stars |
| Trial number | Outcome | Chosen event happened? |
|---|---|---|
| 1 | ||
| 2 | ||
| 3 | ||
| 4 | ||
| 5 | ||
| 6 | ||
| 7 | ||
| 8 | ||
| 9 | ||
| 10 |
If you run more than 10 trials, continue on the back or in your maths book and summarise the totals below.
| Question | Your answer |
|---|---|
| How many times did the chosen event happen? | |
| What is the experimental probability? | |
| How close was this to the theoretical probability? |
Why might your experimental result differ from the theoretical probability, especially with a small number of trials?
Use the coin task first so the event structure is simplest, then rehearse the meaning of complementary event together.
Students complete one investigation and compare theoretical with experimental probability in writing.
Ask students how the experimental probability might change if the number of trials rose from 10 to 100.
Give students a recording partner or let them mark tallies instead of writing each outcome in full words. Keep the explanation prompt sentence-framed if needed.
Do not rush students into “the experiment was wrong”. Variation in a short run is part of the mathematical story.
Level 3–4: Apply number operations, statistical analysis, and mathematical reasoning to solve real-world problems; represent data using appropriate tools; interpret and communicate mathematical findings clearly.
Level 3–4: Understand how mathematical data and statistics are used to describe and analyse social, economic, and environmental patterns; recognise how data can reveal or obscure inequality.
Mathematics has always been part of mātauranga Māori — in the navigation of Te Moana-nui-a-Kiwa, in the architectural precision of wharenui, in the sophisticated storage and accounting systems of rua kūmara, and in the patterns of kōwhaiwhai and tukutuku that encode mathematical relationships in visual form. When Māori students engage with mathematics, they are not encountering something foreign: they are meeting a domain of knowledge that their tīpuna practised with extraordinary sophistication. Framing mathematical learning through whakapapa — connecting concepts to real Māori contexts — is not "cultural add-on" but recognition of where much mathematical knowledge lives in this land.
This handout is designed to be used alongside the broader unit resources available at Te Kete Ako handouts library. Related resources from the same unit are linked in the unit planner. All resources are provided — no additional preparation is required to use this handout in your classroom.
Students will engage with this resource to build pāngarau (mathematical) understanding — developing number sense, pattern recognition, and mathematical reasoning through hands-on, culturally grounded activities that connect to tamariki's world.
Scaffold support: Use concrete materials (blocks, counters, fingers) for entry-level engagement before progressing to abstract representations. Offer extension challenges asking students to generalise a pattern, write their own word problem, or explain their strategy to a partner.
ELL / ESOL: Mathematical language is a discipline-specific barrier — pre-teach key terms (e.g., equals, more than, fewer, pattern, factor) using visual representations. Allow students to demonstrate mathematical understanding non-verbally or through drawing. Pair with a bilingual buddy where possible.
Inclusion: Embed choice in how students engage — oral, written, or diagrammatic responses are all valid. Neurodiverse learners benefit from short, chunked task sequences with immediate feedback loops. Avoid timed drills in favour of exploratory tasks that reward curiosity. Make the maths classroom a safe place to be wrong and try again.
Mātauranga Māori lens: Pāngarau is a living tradition in Te Ao Māori — from the geometric precision of tukutuku and kōwhaiwhai patterns to the navigational mathematics of waka hourua, and the seasonal calculations embedded in maramataka. Framing early number sense within these contexts shows tamariki that mathematics is a human, culturally rich endeavour — not a foreign import. Encourage students to see counting, measuring, and patterning as acts of knowing their world.
Prior knowledge: Designed for early learners. No prior formal mathematics knowledge required. Teachers should assess current number knowledge before selecting appropriate entry points.