Summary

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.