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Review
This would be an ideal set text for courses in quantitative or research methods and could be studied in the classroom or at a distance. Individuals preparing for the examinations of professional bodies (for example accounting would find it useful).
This text demonstrates its relevance being firmly grounded in reality and by providing practical examples of how quantitative techniques are used’.
THES 11th November 2005
This excellent text exactly mirrors the course I currently teach. I am extremely pleased with the extensive examples provided, both within the chapters and at its conclusion. Also the inclusion of "road tests" which provide real world applications of the methods are extremely interesting. The linkage to the current releases of software are extremely useful.
Mike Cox, University of Newcastle upon Tyne
The new title recently published, The A to Z of QM: Quantitative Methods for Business, offers a refreshing and enthusiastic approach to a subject that many students find daunting. Unlike other texts available for students in this field, The A to Z of QM leads the student steadily through the subject with ease. The informal style adopted ensures that the fundamental concepts are fully understood and builds on these to provide comprehensive tuition.
Examples provided in the text are fully explained and show all stages of the calculations. The question, “Where does that figure come from?” is an unlikely occurrence due to the clear analysis provided. Appropriate questions are provided in each chapter to enable the student to review their progress; answers to all questions are included in the text ensuring that the learning process can be adequately and smoothly assessed. Students are able to understand the concepts and apply their learning to practical business situations.
Heather Owen, Programme Leader and Lecturer,
School of Accounting and Economics,Napier University
Overall this is an excellent text that I would recommend to any student struggling with the quantitative elements of professional accountancy examinations.
Steve Jay
Tutor for The Financial Training Company and Examiner for Certified Accounting Technicians
This is a useful introductory text in Quantitative Techniques and their
application in commerce and industry for students at both undergraduate and
postgraduate level. I particularly like the section in each chapter which
describes actual applications of the techniques introduced.
Philip Entwistle
Senior Lecturer in Management Science
Northampton Business School
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.
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