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.If you are studying business you need to know about quantitative methods. Why? Because business is all about quantities: quantities of goods and services produced, quantities of inputs and costs, quantities of revenues and profit.brbrYou may feel rather uncomfortable at the prospect of studying numerical subjects. Perhaps memories of Maths at school have left a legacy that leads you to associate analysing numbers with mental numbness. However, bQuantitative Methods for Business: The A-Z of QM/b is designed to guide you through quantitative methods by demonstrating their use and relevance in today’s business environment.brbrThe book will introduce you to a variety of analytical techniques drawn from the fields of Business Mathematics, Operational Research and Statistics that together constitute a ‘tool-kit’ of methods that can be used to investigate situations and he@C