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Cambridge International A Level Biology Revision Guide

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<strong>Cambridge</strong> <strong>International</strong> A <strong>Level</strong> <strong>Biology</strong><br />

Number of lemons<br />

5<br />

4<br />

3<br />

2<br />

modal class<br />

median class<br />

Normal distribution<br />

Many sets of data produce a symmetrical pattern when<br />

they are plotted as a frequency diagram. This is called a<br />

normal distribution (Figure P2.5a).<br />

The data in a frequency diagram can also be plotted<br />

as a line graph (Figure P2.5b). lf the data show a normal<br />

distribution, then this curve is completely symmetrical.<br />

a<br />

1<br />

0 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140<br />

Number of of individuals<br />

Mass of lemons / g<br />

Figure P2.4 Lemon mass data plotted as a histogram.<br />

496<br />

Range and interquartile range<br />

We have already met the term range, in the context of the<br />

range of the independent variable. It means exactly the<br />

same thing when applied to the results – it is the spread<br />

between the smallest number and the largest. For the<br />

fruit masses, the range is from 57 g to 135 g.<br />

The interquartile range is the range into which<br />

the middle 50% of your data fall. For the fruits, we<br />

had 40 fruits in total. One-quarter of 40 is ten. The ten<br />

smallest fruits had masses between 57 g and 83 g. The ten<br />

largest fruits had masses between 106 g and 135 g. The<br />

interquartile range is therefore the range of mass shown<br />

by the remaining 20 fruits, which is 84 g to 105 g. This<br />

can also be expressed as 21 g, the difference between 105 g<br />

and 84 g.<br />

Why would we want to know the interquartile range?<br />

It is sometimes useful if we want to compare two sets<br />

of data. Imagine that you have collected another set of<br />

fruits from a different tree, and want to compare the two<br />

sets. By concentrating on the middle 50% of the range,<br />

you eliminate the fruits with extreme masses at either<br />

end of the range. Comparing the interquartile ranges<br />

of both sets rather than comparing the complete ranges<br />

may give you a better idea of how similar or different the<br />

sets are.<br />

b<br />

Number of of individuals<br />

Measurement<br />

Measurement<br />

Figure P2.5 Normal distribution curves shown as a frequency<br />

diagram and b a line graph.<br />

QUESTION<br />

Measurement<br />

Measurement<br />

P2.4 In a perfect normal distribution curve, what will be the<br />

relationship between the mean, median and mode?

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