This book has been written specifically to support shorter courses in statistics and quantitative methods, and aims to make accessible to students what is commonly perceived to be a very difficult subject. It provides revision for basic mathematical numerical skills, examines some simple statistical techniques, and introduces some basic quantitative modelling techniques. Each chapter is written in such a way as to be complete in its own right and approximately match a week of the study programme – students will be able to pick up this book at any point and make sense of the topic being covered. Key to this book is its excellent pedagogy. Learning objectives and outcomes are provided at the start and end of chapters; many worked examples are included throughout the chapters, with first-rate explanations; and numerous end-of-chapter questions are provided, with excellent accompanying answers. The result is an accessible, user-friendly, worked example-oriented guide to quantitative methods for students in many disciplines who may only ever need to take one course in the subject.
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1. Introduction. 2. Basic Sums. 3. Using Graphs. 4. Representing Data. 5. Averaging. 6. Measures of Difference. 7. Making Comparisons using Index Numbers. 8. Working with Possible Relationships. 9. Projecting the Future. 10. Comparing Monetary Returns over time? 11. Probability. 12. Collecting Data. 13. Using Other Sources of Information. 14. Conclusions and Preparing for Assessment. Appendix Glossary of Terms. Index. Excel Guide for PC Users Formula Sheets.
Jon Curwin is Principal Lecturer in Business Analysis and Senior Learning and Teaching Fellow, Birmingham City Business School
Roger Slater is Head of the Faculty Resources Centre for the Faculty of Law, Humanities and Social Sciences at the University of Central England, UK, and has been involved in teaching and examining quatitative topics for over 30 years.
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