Year 6

Statistics: Loopy aeroplanes

Students make loopy aeroplanes using different designs. They collect, represent and analyse data to answer the question "Which loopy aeroplane design is best?”.

'Statistics: Loopy aeroplanes' is one of our new teaching sequences for V9

  • On the 'Sequence overview' tab you'll find all the lessons in this sequence, a suggested implementation plan and curriculum alignment.
  • The 'Our design decisions' tab shows how key mathematical ideas develop over the sequence, and feature an overview video to explain the sequence design.
  • Have you taught this sequence? Use the Feedback button to let us know how it went!

Tasks in this sequence

Year 6

Lesson 1 • Best design

Students make a loopy aeroplane using a small and large loop. They explore if the plane flies further when thrown with the small loop or large loop at the front.

Task 1
Statistics: Loopy aeroplanes
Year 6

Lesson 2 • Aeroplanes protocols

Students create protocols to control variables when flying their planes.

Task 2
Statistics: Loopy aeroplanes
Year 6

Lesson 3 • Testing aeroplanes

Students use established protocols to collect data on their loopy plane designs.

Task 3
Statistics: Loopy aeroplanes
Year 6

Lesson 4 • Small or large first?

Students determine the best loopy aeroplane design using their data as evidence.

Task 4
Statistics: Loopy aeroplanes
Year 6

Lesson 5 • New loopy aeroplanes

Students identify ways to modify the design of a loopy aeroplane, and they make a plan to test these modifications.

Task 5
Statistics: Loopy aeroplanes
Year 6

Lesson 6 • Testing again

Students collect data on their modified loopy aeroplane designs.

Task 6
Statistics: Loopy aeroplanes
Year 6

Lesson 7 • What is the best design?

Students analyse data on the modified loopy aeroplanes to determine the best design.

Task 7
Statistics: Loopy aeroplanes
Year 6

Lesson 8 • Fly-off

Students use the evidence gathered to design and build a loopy aeroplane for a class fly-off.

Task 8
Statistics: Loopy aeroplanes

Suggested implementation

This time plan is just one way that you might choose to implement this sequence. We have based this plan on 50-minute lessons and the timings provided in the lessons’ documentation align with this implementation advice.

 Week 1Week 2
Monday

Lesson 1 • Best design

Problem

  • Making aeroplanes
  • Flying planes

Lesson 6 • Testing again

Data

  • Collecting new data
Tuesday

Lesson 2 • Aeroplanes protocols

Plan

  • Making plans
  • Piloting data collection
  • Establishing protocols

Lesson 7 • What is the best design? 

Data & Analyse

  • Representing new data
  • Looking at the data on the best design
  • What is good design?
Wednesday

Lesson 3 • Testing aeroplanes

Data

  • Following protocols

Lesson 8 • Fly-off 

Conclusion

  • Fly-off
Thursday

Lesson 4 • Aeroplane data

Data & Analyse

  • Representing data
  • Which is the best?
  • Testing predictions
 
Friday

Lesson 5 • New loopy aeroplanes

Plan

  • Changing the design
  • Making our own plane
 

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Curriculum and syllabus alignment

Achievement standards

Students compare distributions of discrete and continuous numerical and ordinal categorical data sets as part of their statistical investigations, using digital tools.

Australian Curriculum V9 alignment

Statistics