Cambridge Pre-U Syllabus - Cambridge International Examinations
Cambridge Pre-U Syllabus - Cambridge International Examinations
Cambridge Pre-U Syllabus - Cambridge International Examinations
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50<br />
<strong>Cambridge</strong> <strong>Pre</strong>-U Draft<br />
Sub-skill<br />
<strong>Pre</strong>senting data in the form of graphs and charts<br />
Candidates should be able to:<br />
• present data in the form of charts, graphs, drawings or mixtures of methods of presentation<br />
• select the most appropriate form of presentation for the data collected or provided, e.g. bar chart,<br />
histogram and line graph<br />
• select which variable(s) to plot and plot appropriately on clearly labelled x- and y-axes<br />
• plot all points or bars to an appropriate accuracy<br />
• follow the Society of Biology recommendations for putting lines on graphs.<br />
Generally, candidates are expected to present data in the form in which the key points of the data can be<br />
most easily visualised:<br />
for quantitative data, this is likely to be a graph,<br />
for qualitative data this may be a table.<br />
Candidates should:<br />
choose scales for the graph axes that allow the graph to be read easily, such as 1, 2 or 5 units to a<br />
20 mm square;<br />
make the best use of the space available, using over half of the length and width of the grid;<br />
use pencil for lines on graphs.<br />
The accepted scientific conventions for labelling the axes of a graph are the same as for the column<br />
headings in a table of results with both the quantity and the unit shown (where appropriate). Points should<br />
be finely drawn with a sharp pencil, but must still be visible. A fine cross or an encircled dot is suitable; a<br />
thick pencil blob is not. Often it is obvious that the data fall on a straight line or smooth curve, when a line of<br />
best fit or appropriate curve should be placed on the graph. Sometimes it is not possible to be sure if the line<br />
should be straight or a smooth curve, so adjacent points should be joined by straight ruled lines in order to<br />
represent the data with the minimum of assumptions. Lines of best fit should show an even distribution of<br />
points on either side of the line along its whole length. Lines should be finely drawn and should not contain<br />
kinks or breaks. If error bars are placed onto graphs, then the line of best fit must go through those error<br />
bars.