Starter quiz
- We could estimate the distance travelled by the vehicle modelled in this speed-time graph by mapping __________ onto the graph.
- a linear graph
- polygons ✓
- triangles
- a second vehicle
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- We could improve the accuracy of this estimation by __________.
- finding the area of the trapezium
- breaking the shape down into a rectangle and triangle
- mapping more polygons onto the graph ✓
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- Map one polygon onto the graph to estimate the distance travelled between and seconds. ______ metres.
- '12' ✓
- Map two polygons onto the graph to estimate the distance travelled between and seconds. Give your answer to d.p. ______ metres.
- '40.4' ✓
- Fully factorise
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- ✓
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- What are the common factors in this calculation?
- ✓
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- ✓
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Exit quiz
- To be more efficient, before calculating we could __________ and __________.
- factorise ✓
- simplify ✓
- expand
- commute
- substitute
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- Use four strips of equal width to estimate the distance travelled between and seconds. Give your answer to d.p. ______ metres.
- '38.2' ✓
- What are the hidden labels on this diagram?
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- ✓
- ✓
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- ✓
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- Which of the below is the Trapezium Rule?
- ✓
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- When using the Trapezium Rule which of the below calculates , the width of the strips? is the number of trapezia.
- ✓
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- Use the Trapezium Rule to estimate the area under this curve between and using trapeziums. ______ metres.
- '66 ' ✓
Worksheet
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Presentation
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Video
Lesson Details
Key learning points
- The more trapezia used, the better the estimate.
- Multiple trapezia can be calculated efficiently.
- A formula for this can be deduced from the sum of the areas of multiple trapezia.
Common misconception
When pupils see four, five or six trapezia they want to work each one out individually, then, do another calculation adding those four, five, six areas together.
This is hugely inefficient. Write out the sum of the area of multiple trapeziums then, from there, look for efficiencies. This is where applying knowledge of factorisation can be beneficial as it reduces the work.
Keywords
Estimate - A quick estimate for a calculation is obtained from using approximate values, often rounded to 1 significant figure.
Generalisation - A generalisation is a statement or rule that applies correctly to all relevant cases.
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