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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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.