Synopses & Reviews
A straightforward, step by step, Quantitative Methods book aimed particularly at those from a non-mathematics background who may find the topic difficult. The author takes a non-threatening and non-theoretical approach, using practical examples and case studies from Business and Management to consolidate relevant principles and conceptual understanding.
Activities and exercises are designed to build up the confidence of the reader and provide familiarity with handling numerical information. The learning development is clearly structured in each chapter: objectives and key concepts introduce the topics in each chapter and after the exploration and development of these via examples, activities and relevant case studies, a self-assessment and summary consolidate learning development. A glossary is provided for clarification. At the back of the textbook there are several integrating case studies covering a selection of topics of varying length, which are ideal for seminars and assignment work. A disk is also included containing solutions to all the worked activities, self-assessments and exercises seen in the book using Excel 5. The textbook is also accompanied by a lecturer's supplement containing guidelines, model answers, solutions to the activities and examples and ideas for the development of the case studies at the back of the textbook.
designed forstudents meeting QM for the first time.
easy to follow, but non-condescending approach
Examples and business case studies put learning into context
Review
ed.'
Times Higher Educational Supplement
Synopsis
Bedward (University of Luton) introduces first year business students to the application of quantitative methods to business situations. The disk contains spreadsheets and worked examples using Excel 5.
Table of Contents
Introduction; The toolkit; Financial mathematics; Collecting business information; Effective business presentations 1; Effective business presentations 2; Business analysis; Uncertainty in decision making 1; Uncertainty in decision making 2; Linear relationships in business; Fundamentals of business forecasting; Integrating case studies; Short answers; Glossary of terms; Appendix A; Appendix B; Index.