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QUANTITATIVE METHODS FOR BUSINESS
Quantitative Methods for Business
The A to Z of QM
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By
John Buglear, Senior Lecturer in Statistics and Operational Research, Nottingham Business School, Nottingham Trent University.

Description
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

Audience
First and second year undergraduate courses in Quantitative Methods.

Contents
Setting off; 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; Appendix 1: Statistical and accounting tables; Appendix 2: Answers and selected worked solutions to review questions; References.

Bibliographic details
Paperback, 704 pages, publication date: SEP-2004
ISBN-13: 978-0-7506-5898-0
ISBN-10: 0-7506-5898-3
Imprint: BUTTERWORTH HEINEMANN

Price and Ordering
Price:
GBP 36.99
EUR 40.95
USD 60.95
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Last update: 20 Feb 2010
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