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GCSE Mathematics Syllabus Statement

Statistics

Subject Content:

Pupils should be taught to interpret, analyse and compare the distributions of data sets from univariate empirical distributions through appropriate graphical representation involving discrete, continuous and grouped data, {including box plots} and appropriate measures of central tendency (including modal class) and spread {including quartiles and inter-quartile range}

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Here are some exam-style questions on this statement:

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Furthermore

If you use a TI-Nspire GDC there are instructions useful for drawing box plots.

There are actually four different methods for calculating the quartiles of a data set. These are explained on the Wikipedia page on quartiles. For discrete data, it turns out that there is no universal agreement on how to determine quartile values.

For example, consider the ordered data set: 6, 7, 15, 36, 39, 40, 41, 42, 43, 47, 49.

Here are the lower quartiles calculated using four different methods:

Method Lower Quartile
Method 1 15
Method 2 25.5
Method 3 20.25
Method 4 15

This variation in results highlights the nuances in statistical definitions that we often overlook. It's fascinating (and humbling) to realise that even concepts we thought were straightforward can be approached in multiple ways, depending on the methodology used.

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