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
* The writing style of the text is clear and easy-to-read and follow
* Each chapter includes guidance on using Excel, Minitab and SPSS to produce the analysis described and provides worked examples and review questions.
* Model solutions are provided throughout with further solutions available on a website to accompany the book.
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
|Getting linear models straight|
|Dealing with curves without going round the bend|
|Filling up - fuelling quantitative analysis|
|Good visibility - pictorial presentation of data|
|General directions - summarising data|
|Two-way traffic - summarising and representing relationships between two variables|
|Counting the cost - summarising money variables over time|
|Long distance - analysing time series|
|Is it worth the risk? - introducing probability|
|Finding the right way - analysing decisions|
|Accidents and incidence - discrete probability distributions|
|Smooth running - continuous probability distributions and basic queuing theory|
|Getting from A to B - project planning using networks|
|Taking short cuts - sampling methods|
|Test driving - sampling theory, estimation and hypothesis testing|
|High performance - statistical inference for comparing population means and bivariate data|
|Going off road - managing quantitative research for projects and dissertations|
|Statistical and accounting tables|
|Answers and selected worked solutions to review questions|
|Table of Contents provided by Publisher. All Rights Reserved.|
Audience: Tertiary; University or College
Number Of Pages: 700
Published: 30th September 2004
Publisher: Taylor & Francis Ltd
Country of Publication: GB
Dimensions (cm): 24.4 x 18.8 x 4.0
Weight (kg): 1.36
Edition Number: 1