Statistics


Collect, organise and interpret uni-variate numerical data.
Collect, organise and interpret uni-variate numerical data.
Represent geometric figures in a Cartesian co-ordinate system.
Definitions and derivations of trigonometric ratios and their reciprocals to solve two-dimensional problems.
Theoretical probability of an outcome, drawing venn diagrams and the identification of exclusive and complementary events
Working with real numbers, exponential laws, surds, factorisation, simplifying, various linear and quadratic equations.
The use of simple and compound growth formulae to solve real life economic problems
Number patterns, investigation with a linear general term
Relationship between variables, the representation of various functions and the use of groups involving the prescribed functions.
Represent bivariate numerical data as a scatter plot. Linear regression and correlation co-efficient calculations are explored in numerical and graphical representation.
In depth use of the Cartesian co-ordinate system for derivations and applications.
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