Quantitative Methods for Business: The A-Z of QMwill 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 analysisSetting 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.This would be an ideal set text for courses in quantitative or research methods and could be studied in the classroom or at a distance. Individuals preparing for the examinations of professional bodies (for example accounting would find it useful).
This text demonstrates its relevance being firmly grounded in reality and by providing practical examples of how quantitative techniql"