Studio checkpoint: draft a qualified conclusion
Teams write a conclusion that answers their exact question, cites features from the display and measures, and names limitations from the collection log. A peer reviewer highlights any sentence that claims more than the data can support.
- Studio move: Claim–evidence–reasoning draft and overclaim audit
- Portfolio evidence: A revised conclusion memo with limitations and next question
🎯 Learning Intentions
- Interpret data to make statements
- Write a conclusion that directly answers the investigative question
- Identify limitations in the data
Use the Conclusion section of the project brief to draft and improve the final claim.
🎥 Media Anchor (8 mins)
Video: Research Skills for Students
- What level of evidence is enough to support a class conclusion?
- How do we avoid over-claiming from a small sample?
1. "I Notice, I Wonder" (10 mins)
Look at your graphs and tables. Complete these sentences:
- "I notice that most students..."
- "I notice that the difference between..."
- "I wonder why..."
Example: "I notice that 80% of students bring lunch from home. I wonder if this changes in winter?"
2. Structure of a Conclusion (15 mins)
A good conclusion has three parts:
- Claim: The answer to your question. ("Year 8 students prefer rugby over soccer.")
- Evidence: The numbers backing it up. ("My data shows 15 students chose rugby, while only 5 chose soccer.")
- Meaning: What does this mean in context? ("This suggests rugby is the dominant sport culture in our class.")
3. Task: Draft your Conclusion (20 mins)
Write your conclusion paragraph.
Checklist:
- Did I mention specific numbers?
- Did I answer my specific I-V-G question?
- Is it true based on my data?
4. Evaluation (5 mins)
Reflection: What could you have done better?
- "My sample size was too small."
- "My question was confusing."
- "I only asked my friends."
Identifying limitations is part of good statistical practice!
📋 Teacher Planning Snapshot
Ngā Whāinga Ako — Learning Intentions
Ākonga draw a conclusion that stays inside what their data supports.
Ngā Paearu Angitū — Success Criteria
- ✅ I can state what my data shows and what it suggests.
- ✅ I can name what my data cannot establish, and what further data would settle it.
Differentiation & Inclusion
Scaffold support: A conclusion frame: 'Our data shows ___, which suggests ___, but it cannot tell us ___.' Extension: state what further data would settle the gap.
ELL / ESOL: Rehearse the limitation sentence specifically — it is the part ākonga skip.
Inclusion: Conclusions can be spoken, recorded or scribed; the claim-evidence-limit structure is what is assessed.
Mātauranga Māori lens: Knowing the limits of what your observation establishes is central to both statistical reasoning and mātauranga practice — neither treats one season as settled.
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
This lesson develops the Level 4 statistical-investigation objective through a real stage of the PPDAC cycle. See the unit curriculum companion for the exact source statement and lesson-to-evidence map.