Davis / Pecar | Quantitative Methods for Decision Making Using Excel | Buch | 978-0-19-969406-8 | sack.de

Buch, Englisch, 660 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 1226 g

Davis / Pecar

Quantitative Methods for Decision Making Using Excel

Buch, Englisch, 660 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 1226 g

ISBN: 978-0-19-969406-8
Verlag: OUP Oxford


• Accurate map of the table of contents to typical Quantitative Methods for Decision Making courses in the UK and Europe
• Selection of most frequently used methods in accordance with the major enterprise functions (marketing, sales, business development, manufacturing, quality and finance)
• Full integration of Excel exercises and applications both within the textbook and via the Online Resource Centre to allow real flexibility to lecturers to teach through a variety of learning schemes: classroom led or self-directed study
• Excel is used as the primary application tool for explaining the mechanics of the methods as well as for explaining how to solve the real-life problems
• A unique Online Resource Centre accompanies the book and contains a range of practical exercises and resources for both students and lecturers

Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment.

Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book.

An Online Resource Centre accompanies the text and includes:

For students:

- Numerical skills workbook
- Online workbook accompanying all chapters of the book with additional exercises, questions and content
- Data from the examples and exercises in the book
- Links to useful websites
- Online glossary of terms
- Range of assignment and examination questions for self-test
- Revision tips
- Flash movies covering the application of a range of quantitative methods

For lecturers:

- Instructor's manual including solutions from the text and a guide to structuring lectures and seminars
- PowerPoint presentations
- Test bank with 30 questions per chapter (MCQ, multiple response and true or false questions)
- Case studies from the book, together with suggested solutions
- Bank of additional examples
- Suggested assignment questions
- Examination questions
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Zielgruppe


This book will be suitable for undergraduate students studying a core module in Quantitative Methods on Business degree programmes. It is also suitable for postgraduate students on selected MBA courses and to support students who may be taking a conversion business course at postgraduate level.


Autoren/Hrsg.


Weitere Infos & Material


Part 1 Refresher Course in Business Mathematics and Statistics
1: Refresher course in key numerical skills
2: Descriptive statistics and basic survey processing
Part 2 Decision Making in Marketing, Sales and Business Development
3: Fundamentals of statistical decision making
4: Prediction and forecasting
Part 3 Decision Making in Manufacturing and Quality
5: Optimization
6: Inventory and stock control
7: Statistical quality control
8: Project planning and control
Part 4 Decision Making in Finance
9: Decision making in business
10: Decision making in finance
11: Simulation


Glyn Davis, Principal Lecturer in e-Business and Data Analysis, Teesside University Teaching Fellow, and Branko Pecar, Visiting Fellow of the University of Gloucestershire; VP- ExxonMobil Global Account, Emerson Process Management


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