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Lesson 2: Posing Good Questions

Learning how to ask investigative questions that can be answered with data.

🎯 Learning Intentions

  • Understand the difference between a survey question and an investigative question
  • Learn the criteria for a good investigative question
  • Practice writing summary and comparison questions

🎥 Media Anchor (8 mins)

Video: Research Skills for Students

  • How can we rewrite a broad question so it becomes measurable?
  • What bias risk appears when a question is leading or vague?

1. Warm Up: Question Sort (10 mins)

Activity: Sort these questions into "Can answer with data" vs "Hard to answer with data":

  • "Who is the best rugby player?" (Subjective)
  • "How tall are the students in Room 5?" (Measurable)
  • "Why is blue the best color?" (Opinion)
  • "What is the most common eye color in our whānau?" (Countable)

2. Concept: Anatomy of a Question (15 mins)

A good investigative question needs I-V-G:

  • Interest: What property are you interested in? (e.g., height, lunch type)
  • Variable: What are you measuring? (e.g., centimeters, food category)
  • Group: Who are you measuring? (e.g., Year 8 students in Room 5)

Example: "What are the heights (V) of Year 8 students in Room 5 (G)?"

3. Activity: Fix the Question (20 mins)

Task: Turn these bad questions into good investigative questions:

  1. "Do you like sports?" → "primary sport played by Year 8 students"
  2. "Are we tall?" → "heights of students in our class compared to..."
  3. "Is this lunch healthy?" → "sugar content in lunchbox items of..."

4. Investigation Setup (10 mins)

Start thinking about your own investigation project. What are you curious about?

Draft 3 potential investigative questions for your project.

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📋 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