Quantitative Methods for Business and Management, 1st edition

Published by FT Publishing International (June 21, 2012) © 2013

  • John Buglear Nottingham Trent University

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Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

To study business you have to understand Quantitative Methods. The business world is full of figures so knowing how to handle them is a key skill for successful management. To help you acquire this ability, Quantitative Methods for Business and Management Students takes you on a journey though the techniques required to succeed in business and management.

The book provides examples of where the tools in the Quantitative Methods tool-kit have been used in business organisations and worked examples based on applications in the business world. The methods are clearly explained in words before being represented mathematically. Key techniques are summarised in step-by-step ‘Self assembly guides’. Review Questions are provided for readers to test their understanding and these are graded according to difficulty.

Table of contents

  1. 1 Rules of the road; The basic techniques
  2. 2 Straight ahead - linear models
  3. 3 Around the bend - dealing with the curves
  4. 4 Filling up - fuelling quantitative analysis
  5. 5 Good visibility - pictorial presentation of data
  6. 6 General directions - summarising data
  7. 7 Two-way traffic - investigating relationships between two variables using correlation and regression
  8. Counting the cost - summarising money variables over time
  9. 9 Long distance - analysing time series data
  10. 10 Is it worth the risk - introducing probability
  11. 11 Finding the right way - analysing decisions
  12. 12 Accidents and incidence - discrete probability distributions and simulation
  13. 13 Smooth running - continuous probability distributions and basic queuing theory
  14. 14 Getting from A to B - project planning using networks
  15. 15 Taking short cuts - sampling methods
  16. 16 Test driving - sampling theory, estimation and hypothsis testing
  17. 17 High performance - statistical inference for comparing population means and bivariate data
  18. 18 Going off-road - managing quantitative research for projects and dissertations#

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