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9H

Interquartile range

569

9H Interquartile range

EXTENSION

Sometimes it is useful to know a number that describes the amount of spread in a dataset. Two commonly

used measures of spread are range and interquartile range.

Let’s start: Golfing

Three golfers record their scores over five games. In golf, lower scores are better.

Alfred: 82, 87, 80, 112, 79

Brenton: 90, 89, 91, 92, 89

Charlie: 72, 103, 94, 83, 80

• Which golfer do you think is best? Explain.

• Which golfer is most consistent? Explain.

• Alfred’s range of values (112 − 79 = 33) is larger than Charlie’s (103 − 72 = 31) . Discuss whether

this means that Charlie is a more consistent golfer than Alfred.

■ The range and interquartile range are summary statistics known as ‘measures of spread’.

■ Around the world, there are several different methods used for finding the quartiles and the

interquartile range (IQR). This is one of those methods:

• Sort the data into ascending order.

• If the number of values is odd, the median will be one of those values. The values below

and above the median form two groups of equal size.

• If the number of values is even, it is easier to form two groups of equal size.

• Split the data into two equal-size groups.

• The median of the lower half is called the lower quartile .

• The median of the upper half is called the upper quartile .

• IQR = upper quartile − lower quartile

Key ideas

lower half

}

For example: 1 5 7 9 10 11

Lower quartile

= (7 + 9) ÷ 2

= 8

■ Outliers affect the range but not the IQR.

IQR = 19.5 − 8

= 11.5

upper half

}

13 17 19 20 23 28

Upper quartile

= (19 + 20) ÷ 2

= 19.5

Cambridge Maths NSW

Stage 4 Year 8 Second edition

ISBN 978-1-108-46627-1 © Palmer et al. 2018

Cambridge University Press

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