Introduction to statistics; the collection of data; secondary data; variables and frequency distribution; presentation of data; approximation and error; measures of central tendency or location - averages; measures of dispersion and measures of skewness; the relationship between two variables; index numbers; the analysis of time series; an introduction to probability; probability distributions; sampling theory; significance testing; interest and investment appraisal; population statistics; computers and statistics; suggestions for projects.

A concise explanation of basic statistical methods, which demonstrates the importance and application of statistics in such fields as finance, economics and management. Data collection, index numbers and time-series analysis are covered, and worked examples and exercises are included throughout.