Moon Lengths

A Maths Starter of The Day

1km
A
.
B
.
C
.

A moon vehicle starts at point A then travels in straight lines to B then C then back to A. Estimate the total distance travelled.

Estimate how long it would take to walk that distance.

 

Move Points

 


Topics: Starter | Estimating | Rounding

  • Alan, Elmwood Ebd School
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  • Very good. my year 8 class found it interesting and demanding when they had their rulers taken away!!
  • N. Armstrong, Rima Euler
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  • Did you know that 'astronomer' is an anagram of 'moon starer'?
  • Jonathan Sun, South Yarra.Vic.Australia
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  • This is a good one. I enjoyed doing it. There should be more of these in Math Starter of the Day.

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Answers

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Move Points

Note to teacher: Doing this activity once with a class helps students develop strategies. It is only when they do this activity a second time that they will have the opportunity to practise those strategies. That is when the learning is consolidated. Click the button above to regenerate another version of this starter from random numbers.

Extension

If the three estimated distances are correct to one decimal place what is the least possible value for the total distance?



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Student Activity

 



 

When estimating distances, it's important to understand that errors accumulate. If you estimate each of the three segments (A to B, B to C, and C to A) and each estimate has a small error, these errors add together in your final total. For example, if you overestimate each segment by just 1 km, your total could be 3 km too high. This is why developing consistent estimation strategies is valuable - randomly overestimating some segments while underestimating others can lead to unpredictable results. Is it better to be consistently slightly over or under in your estimates, or to aim for exact accuracy each time?

A reasonable error margin for visual estimation tasks like this is typically within 5-10% of the actual value, though this depends on the scale provided and the complexity of the measurements. Develop an "error awareness" by asking yourself: "Could my answer realistically be wrong by 2 km? 5 km? 100 m?" This metacognitive skill, thinking about the reliability of your own estimates, is valuable across many areas of mathematics and science. When you check your work, you should ask not just "Is this answer right?" but "Is this answer reasonable, and how confident am I in it?"

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