Synopsis
Quantitative Methods for Business: The A-Z of QM will enable readers to:
*Appreciate the significance of quantitative methods for businesses and the study of business
*Understand and apply a wide range of quantitative techniques
*Select appropriate quantitative techniques for data analysis, problem solving and decision making
*Interpret and communicate the results of quantitative analysis
"synopsis" may belong to another edition of this title.
About the Author
John Buglear
From the Back Cover
If you are studying business you need to know about quantitative methods. Why? Because business is all about quantities: quantities of goods and services produced, quantities of inputs and costs, quantities of revenues and profit.
You may feel rather uncomfortable at the prospect of studying numerical subjects. Perhaps memories of Maths at school have left a legacy that leads you to associate analysing numbers with mental numbness. However, Quantitative Methods for Business: The A-Z of QM is designed to guide you through quantitative methods by demonstrating their use and relevance in today's business environment.
The book will introduce you to a variety of analytical techniques drawn from the fields of Business Mathematics, Operational Research and Statistics that together constitute a ‘tool-kit’ of methods that can be used to investigate situations and help solve problems. Like any other tool-kit, the key to using it properly is to know not just what each tool does, but to appreciate how and when to use it. The text helps you to develop this ability by illustrating the application of the methods described using business contexts.
* Techniques are explained and demonstrated using worked examples.
* Calculations are outlined in words before symbols are used to represent the process.
* Solutions to worked examples are precise and accurate.
* Guidance is given on using EXCEL, Minitab and SPSS.
This text is suitable for first and second year undergraduate courses in Quantitative Methods.
John Buglear, Senior Lecturer in Statistics and Operational Research, Nottingham Business School, Nottingham Trent University.
"About this title" may belong to another edition of this title.
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