Types of Range (Edexcel GCSE Statistics)
Revision Note
Range & Interquartile Range (IQR)
What is the range of a data set?
The range of a data set is the difference between the largest and smallest values in the data set
If the data has units (seconds, cm, etc.), then the range has the same units as the values in the data set
The range is a measure of dispersion (i.e. a measure of spread)
An average for a data set tells you what a 'typical' data value is
The range tells you how spread out the data is around that average
A small range means all the data values are close to the average
A large range means that some of the data values are far from the average
What is the interquartile range (IQR) of a data set?
The interquartile range (IQR) of a data set is the difference between the upper quartile (UQ) and lower quartile (LQ) of the data set
The IQR has the same units as the values in the data set (seconds, cm, etc.)
The interquartile range is also a measure of dispersion (i.e. of spread)
Half of the data values in a data set are between the LQ and UQ
This 'middle half' of the data set may be thought of as the 'most typical' half of the data
The IQR tells you how spread out the values in that middle half are
The largest and smallest values in a data set do not affect the interquartile range
This makes the IQR a better measure of spread for data sets with extreme values (i.e. extremely large or extremely small)
Such 'untypical' values can cause the range of a data set to be large
The range would then give a misleading idea about how spread out most of the data really is
Worked Example
Roger planted a number of hot pepper seeds and recorded the number of days it took each seed to germinate. The results are listed below:
5 5 6 6 6 7 7 7 7 7 7 7 8
8 8 8 8 8 9 9 9 9 10 10 11 23
(a) Find the range of the data set.
Range is largest value minus smallest value
23 - 5 = 18
18 days
Roger calculates that the lower quartile of the data set is 7, and the upper quartile is 9.
(b) Find the interquartile range of the data set.
Interquartile range is upper quartile minus lower quartile
9 - 7 = 2
2 days
(c) Suggest a reason why the interquartile range might be a better measure of dispersion to use for this data set.
Note that the '23' is an extreme value
This causes the range to be very large (18 days), even though the other data values are all within 6 days of each other
But extreme values do not affect the IQR
The 23 in the data set is an extreme value compared to all the other values. This means the range will be large and give a misleading idea about the spread of the data. The interquartile range is not affected by extreme values, and so will be a better measure of dispersion for this data set.
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