Quantitative Methods for Business
The A to Z of QM
- 1st Edition - September 30, 2004
- Latest edition
- Author: John Buglear
- Language: English
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*U… Read more
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Description
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
*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
Key features
Key features
- 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.
Readership
Readership
First and second year undergraduate courses in Quantitative Methods.
Table of contents
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.
Product details
Product details
- Edition: 1
- Latest edition
- Published: September 30, 2004
- Language: English
About the author
About the author
JB
John Buglear
Affiliations and expertise
Senior Lecturer in Statistics and Operational Research, Nottingham Business School, Nottingham Trent University.