Quantitative techniques form the backbone of all statistical, economic and management models according to which forecasts and management decisions are made. Quantitative statistical techniques aims to help readers not only master these techniques, but also understand the role of each technique.
Quantitative principles are stated simply and are specifically directed at the first-year student who is contemplating a career in the business sector. The topics that are dealt with reflect the relevant quantitative background specifically demanded by business careers.
The text is illustrated and supported with appropriate examples and graphs. Guidelines describing how calculations can be performed with computer software are integrated throughout the text. This ensures that the book's focus falls on the correct application and interpretation of techniques as readers are able to avoid lengthy and time-consuming calculations. Each chapter concludes with appropriate exercises specifically aimed at helping readers to master the subject matter.
Andre Swanepoel has extensive consulting experience, and more than 21 years' experience as a senior lecturer and statistical consultant in the Department of Statistics at the University of Pretoria.
Leon Vivier has more than 45 years' experience as a consultant in statistics and economic development in the private and public sector, in addition to the experience he gained as a professor in the Department of Statistics at the University of Pretoria.
Sollie Millard is a senior lecturer in the Department of Statistics at the University of Pretoria, and has 19 years' extensive experience as a statistical consultant and academic.
René Ehlers has 12 years' experience as a lecturer in the Department of Statistics at the University of Pretoria, in addition to her experience in the industrial sector. She is also involved in statistical consultation work.
Chapter 1 Mathematical operations and functions
Chapter 2 Differentiation
Chapter 3 Integration
Chapter 4 Matrix algebra
Chapter 5 Linear programming
Chapter 6 Answers to selected exercises
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