The text emphasises four themes to support evidence-based management decision making: 1. Setting the statistical landscape in a management context 2. Interpretative decision making based on patterns revealed by exploratory data analyses 3. Statistical decision making guided by the test-based findings of inferential analyses 4. Predictive decision making using statistical modelling evidence. The thread that links them is the role of data analytics as a management decision-support tool. This fifth edition builds on the strengths of the fourth edition by: - Highlighting newer trends in statistical applications in management practice - Strengthening the Excel-based generation of statistical evidence using a custom-built software product, called X-Static - Enhancing the graphic visualisation of statistical evidence. Target market: - Undergraduate students of Management at universities (BCom, BAcc, etc) - Management diploma students working towards professional qualifications at institutions such as the IMM, CSSA, CIMA, IAC, etc. - Postgraduate students (MBA and PGDip) of Management at business schools.

Basic Mathematics is aimed primarily at management students preparing to write the GMAT test which requires a strong foundation in fundamentals of mathematics. It is also of value to anyone wanting a general revision of basic mathematics. The text focuses only on those areas of mathematics required for the GMAT test, consisting of four main topics: basic arithmetic; fundamental algebra; geometry and introductory statistics. After a brief review of each topic's basic rules and methods, there is at least one worked example followed by an extensive set of self-practice exercises. The student should attempt as many exercises as is necessary to master the topic.