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🎲 Probability & Chance

Te Tūponotanga — What Are the Odds?

🤔 Will It Happen?

Probability is the study of how likely something is to happen. From weather forecasts to games, probability helps us understand and predict the world around us.

📏 The Probability Scale

Probability ranges from 0 to 1

0 (Impossible) 0.5 (Even chance) 1 (Certain)
❌ Impossible (0)

Rolling a 7 on a normal dice

🤷 Unlikely

Rolling a 6

⚖️ Even (0.5)

Flipping heads

👍 Likely

Not rolling a 1

✅ Certain (1)

Sun rising tomorrow

🧮 Calculating Probability

The Formula

P(event) = Favourable outcomes / Total possible outcomes

Example: Rolling a 3

On a normal dice:

  • Favourable outcomes = 1 (just the 3)
  • Total outcomes = 6 (1, 2, 3, 4, 5, 6)
  • P(3) = 1/6 ≈ 0.17 or about 17%

📖 Probability Language

Words We Use

  • Impossible — cannot happen (0%)
  • Unlikely — probably won't happen
  • Even chance — 50/50
  • Likely — probably will happen
  • Certain — will definitely happen (100%)

📊 Types of Probability

Theoretical vs Experimental

  • Theoretical — what SHOULD happen mathematically
  • Experimental — what ACTUALLY happens when you try it

The more trials you do, the closer experimental gets to theoretical!

✏️ Activities

Activity: Coin Flip Experiment

  1. Flip a coin 20 times
  2. Record heads: _____ Tails: _____
  3. What is your experimental probability of heads?
  4. How does it compare to the theoretical (0.5)?

Calculate These

A bag has 3 red, 2 blue, and 5 green marbles:

  • P(red) = ___
  • P(blue) = ___
  • P(not green) = ___

My calculations:

👩‍🏫 Teacher Notes

Curriculum Links

  • Mathematics: Statistics — probability

Curriculum alignment

  • Statistics — Knowledge: - complements / complementary event - experimental or theoretical probability - estimated probability.
  • Geometry — Practices: - A map’s scale is the ratio between a distance on the map and the corresponding distance in the physical world.

📋 Teacher Planning Snapshot

Ngā Whāinga Ako — Learning Intentions

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.

Ngā Paearu Angitū — Success Criteria

  • ✅ Students can identify an investigative question, collect relevant data, and display it clearly.
  • ✅ Students can interpret statistical findings and discuss what they might mean for a real-world community or environmental context.

Differentiation & Inclusion

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.

Curriculum alignment

  • Statistics — Statistical Investigation: Plan and conduct investigations using the statistical enquiry cycle — determining appropriate variables and data collection methods; gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations, relationships, and trends; comparing distributions visually; communicating findings, using appropriate display.
  • Statistics — Probability: Investigate situations that involve elements of chance by comparing experimental distributions with expectations from models of the possible outcomes, acknowledging uncertainty.