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Quantitative Methods for Business Decisions

Quantitative Methods for Business Decisions

by Jon Curwin (Author), Roger Slater (Author)

  • New

    Paperback 2013

    $73.69
Synopsis

This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials. The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum. Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering `Modelling', `Mathematical Topics' and `Student Guides' respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two this providing a multi-faceted learning experience. The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels.

$73.69

Save:$10.04 (12%)

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20+ in stock

More Information

Format: Paperback
 Pages: 606
 Edition: 7th Revised edition
 Publisher: Thomson Learning
Published: 21 Jan 2013
ISBN 10: 1408060191
ISBN 13: 9781408060193

Media Reviews
1 BASIC MATHEMATICS. 1A. Mathematical Background. 1B. Financial Mathematics. Part 1: UNDERSTANDING QUANTITATIVE INFORMATION. 2. The quantitative approach. 3. Managing data. 4. Survey methods. Part 2: DESCRIBING DATE. 5. Presentation of data. 6. Measures of location. 7. Measures of dispersion. 8. Index numbers. Part 3: MEASURING UNCERTAINTY. 9. Probability. 10. Discrete probability distributions. 11. The Normal distribution. Part 4: USING STATISTICAL INFERENCE. 12. Samples, Estimation and Confidence intervals. 13. Significance testing. 14. Non-parametric tests. Part 5: RELATING VARIABLES AND PREDICTING OUTCOMES. 15. Correlation and simple regression analysis. 16. Multiple Regression Analysis. 17. Time series.
Author Bio
David Eadson is a Higher Education Consultant, formerly a Principal Lecturer in Statistics in the Teesside University Business School Roger Slater is Head of the Faculty Resources Centre for the Faculty of Law, Humanities and Social Sciences at the University of Central England, UK, and has been involved in teaching and examining quatitative topics for over 30 years. Jon Curwin is a Principal Lecturer at the University of Central England Business School and has taught quantitative methods on a wide range of undergraduate and postgraduate courses.