Financial maths: valuing projects detailed breakdown and worked examples. Includes: Net Present Value and Payback Period.

Basics of financial maths: compound interest including examples with formulae.

Detailed revision guide explaining sources of statistical data (primary and secondary), as well as the ethics and access associated with data collection. Also includes sampling techniques such as simple random, stratified, systematic, quota and self selection to name a few. The ideal sample size is also covered and the mean, mode and median of data is covered (descriptive statistics).

An introduction to statistical variables including key definitions of variable, random variable, random space, event and frequency, categorical, quantitative, nominal or binary, ordinal, interval scale, ratio scale, discrete and continuous data, randomness and patterns, probability distributions, and ways of organising and presenting data - charts or tables, Zalazny's guide to selecting charts and examples of different kinds of charts