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Students learn how to find the area of various 2D shapes parallelograms, trapezia, compound shapes and circles. Throughout the topic links are made to algebraic reasoning and estimation. This topic takes place in Term 1 of Year 9 and links to volume and surface area later on.

**Prerequisite Knowledge**

- Know and apply formulae to calculate the area of rectangles
- Calculate the perimeters of 2D shapes, including composite shapes;
- Compare and order lengths, mass, volume / capacity and record the results using >, < and =
- Measure, compare, add and subtract: lengths (m/cm/mm); mass(kg/g); volume/capacity (l/ml)
- Identify and apply circle definitions and properties, including: centre, radius, chord, diameter, circumference, tangent, arc, sector and segment

**Success Criteria**

- Know and apply formulae to calculate: area of triangles, parallelograms and trapezia;
- Know the formulae: circumference of a circle = 2πr = πd, area of a circle = πr
^{2}; calculate: perimeters of 2D shapes, including circles; areas of circles and composite shapes; - Calculate arc lengths, angles and areas of sectors of circles

**Key Concepts**

- Demonstrate a triangle as being half a rectangle so students know to use the perpendicular height in their calculation. Demonstrate a parallelogram as having an equal area to a rectangle.
- To calculate the area of composite rectilinear shapes have students break them up in different ways.
- A sector is a fraction of 360° of the entire circle.

**Common Misconceptions**

- Students often confuse area and perimeter.
- When calculating the area of a triangle or parallelogram students tend to use the slanted height rather than the correct perpendicular height.
- Arc length and area of a sector are often rounded incorrectly. Encourage students to evaluate as a multiple of pi and calculate the decimal at the end.

August 5, 2022

Year 13 Further Mathematics: Statistics 1: Geometric and Negative Binomial Distributions

July 26, 2022

Scheme of Work: A-Level Applied Mathematics: Statistics 2: Conditional Probability