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Quantitative Methods for Business: The A to Z of QM / Edition 1
     

Quantitative Methods for Business: The A to Z of QM / Edition 1

by John Buglear
 

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ISBN-10: 0750658983

ISBN-13: 9780750658980

Pub. Date: 06/30/2004

Publisher: Taylor & Francis

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

Overview

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

Product Details

ISBN-13:
9780750658980
Publisher:
Taylor & Francis
Publication date:
06/30/2004
Edition description:
New Edition
Pages:
700
Product dimensions:
7.50(w) x 9.75(h) x 1.60(d)

Table of 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.

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