Includes bibliographical references (pages 673-678) and index.
Chapter 1. Setting off -- Chapter 2. Getting linear models straight -- Chapter 3. Dealing with curves without going round the bend -- Chapter 4. Filling up -- fuelling quantitative analysis -- Chapter 5. Good visibility -- pictorial presentation of data -- Chapter 6. General directions -- summarizing data -- Chapter 7. Two-way traffic -- summarizing and representing relationships between two variables -- Chapter 8. Counting the cost -- summarizing money variables over time -- Chapter 9. Long distance -- analysing time series data -- Chapter 10. Is it worth the risk? -- introducing probability -- Chapter 11. Finding the right way -- analysing decisions -- Chapter 12. Accidents and incidence -- discrete probability distributions and simulation -- Chapter 13. Smooth running -- continuous probability distributions and basic queuing theory -- Chapter 14. Getting from A to B -- project planning using networks -- Chapter 15. Taking short cuts -- sampling methods -- Chapter 16. Test driving -- sampling theory, estimation and hypothesis testing -- Chapter 17. High performance -- statistical inference for comparing population means and bivariate data -- Chapter 18. Going off-road -- managing quantitative research for projects and dissertations.
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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.