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Cambridge Pre-U Syllabus - Cambridge International Examinations

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52<br />

<strong>Cambridge</strong> <strong>Pre</strong>-U Draft<br />

Sub-skill<br />

Interpretation of data and observations<br />

Candidates should be able to:<br />

• identify the calculations that are necessary to be able to draw conclusions from primary and/or<br />

secondary data,<br />

• use descriptive statistics to enable simplification of data, assess its variability and determine the<br />

confidence in the validity of conclusions;<br />

• use appropriate statistical tests to determine goodness of fit and the statistical differences between<br />

samples;<br />

• find an unknown value by using co-ordinates or axis intercepts on a graph;<br />

• calculate other quantities from data or from quantitative data related to their qualitative observations, or<br />

calculate the mean from replicate values, or make other appropriate calculations;<br />

• determine the gradient of a straight-line graph or tangent to a curve.<br />

Candidates should know how to choose and carry out calculations required for simplifying data and to make<br />

them comparable. These may involve determining the following:<br />

• mean,<br />

• median,<br />

• mode,<br />

• percentages,<br />

• percentage gain or loss,<br />

• rate of reaction,<br />

• magnification and actual size.<br />

Candidates should know how to select and carry out the key steps of descriptive statistical methods<br />

designed to assess variability in data including<br />

range,<br />

inter-quartile range,<br />

standard deviation,<br />

standard error.<br />

Candidates should know how to put error bars on graphs which may be calculated using standard error.<br />

Candidates should be able to select and use, when provided with suitable equations, statistical tests<br />

designed to find the differences between samples:<br />

chi squared test,<br />

t-test.<br />

They should also know how to use Spearman’s rank and Pearson’s linear correlation to test for correlation.<br />

See the Notes on the use of statistics in biology at the end of this syllabus.<br />

Candidates may be expected to derive unknown values which might include concentrations where a<br />

calibration curve has been drawn. When a gradient is to be determined, the points on the line chosen for the<br />

calculation should be separated by at least half of the length of the line or tangent drawn.<br />

Candidates should be encouraged to use spreadsheets to collate and analyse the data they collect in their<br />

own practical work or when analysing secondary data. This makes it possible to assess the variability of their<br />

data.

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