ISBN-13: 9781137376558 / Angielski / Miękka / 2014 / 728 str.
ISBN-13: 9781137376558 / Angielski / Miękka / 2014 / 728 str.
Quantitative Methods is a comprehensive guide to the techniques any student of business or finance is likely to need. The authors' coaching, learning-by-doing approach coupled with the text's clear structural outline makes this title ideal for those less confident with maths. With Swift, the acquisition of essential mathematical skills is achievable and even enjoyable.
From the previous edition:
"Far too many students steer clear of quantitative methods because they fear that they will be unable to cope with the complexities of statistics and formulae. Louise Swift and Sally Piff have managed to produce a wonderfully clear text that takes students gently through the basic principles behind the most commonly used quantitative methods, simultaneously providing the basis for an understanding of statistical outputs which every researcher requires, regardless of the methods they chose to use in their own work." -Tony Bryant, Professor of Informatics, Leeds Metropolitan University, UK
"This book is an excellent introduction to the quantitative methods used in business. Swift and Piff succeeded in preparing a well written and comprehensive text book which requires no prior knowledge of statistics and maths. Indeed all the required quantitative background is provided and students may benefit from the abundance of examples, exercises and work cards that will allow them to practice, achieve a high level of understanding of the topics covered in the book as well as confidence in problem solving skills." -Konstantinos Tolikas, Lecturer in Finance, Cardiff Business School, UK
"Yet again, Swift and Piff have developed and enhanced this essential text, ensuring compatibility with all the latest applications and learning environments. Suitable for both undergraduate and postgraduate study, its practical, no-nonsense approach enables genuine understanding of essential quantitative methods for non-mathematicians. This is a user friendly text for those who struggle with basic concepts and is versatile enough to be useful for those students with a more in depth knowledge of this subject. It lifts the mystery which often surrounds more difficult quantitative concepts for those studying business and finance. Subjects are broken down into manageable sections with colour coded reinforcement panels, work cards and assessment tasks. The clarity of this layout provides a supportive platform for ease of learning and self study." -Hilary Feltham, Director of Administration& Student Affairs, ICMA Centre, Henley Business School, University of Reading, UK
"This new edition of Quantitative Methods has some excellent features. Its four colour text design, companion website and comprehensive range of examples means that it will stay firmly at the top of my reading list for undergraduate Business and Management students." - Dr. Christina Broomfield, Manchester Metropolitan University, UK
"I highly recommend this textbook as it clearly explains complex mathematical and statistical concepts in a simple, easy to follow manner. Ideally suited to students embarking on an undergraduate or postgraduate degree who in the past have had 'a dislike' for maths, the examples used are relevant and -supplemented with the website - provide an excellent accompaniment to any QM Module. Swift and Piff should be commended for the excellent text which is extremely well written and user friendly. It is also good value for money as the students need only one book to cover most of the topics required at graduate/post graduate level." - Ann Thapar, Senior Lecturer for Business Management, Westminster Business School, UK
PART I: ESSENTIAL MATHS 1. Numbers and Symbols 2. Simplifying Expressions 3. Solving Problems 4. Modelling Using Straight Lines PART II: MORE MATHS 5. Some Special Equations 6. Modelling Using Curves 7. Rates of Change PART III: DESCRIBING DATA 8. Pictures of Data 9. Summarising Data PART IV: PROBABILITY 10. Measuring Uncertainty 11. Numerical Outcomes 12. Continuous Numerical Outcomes 13. Some More Probability Distributions PART V: STATISTICS 14. Estimation 15. Testing Hypotheses 16. Correlation and Regression 17. Comparing Two Populations 18. Nonparametric methods 19. Categorical Data 20. Forecasting 21. Statistics in Practice PART VI: BUSINESS MODELLING 22. Linear Programming Models 23. Planning Projects 24. Models for Inventory Control 25. Time and Money 26. Decision Making 27. Simulating Reality 28. Controlling Quality PART VII: STATISTICAL TABLES 29. Cumulative Binomial Probabilities 30. Cumulative Standard Normal Probabilities 31. Percentage Points of the Standard Normal Distribution 32. Random Digits 33. Percentage Points of the t Distribution 34. Percentage Points of the x2 Distribution.
Louise Swift taught Quantitative Methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician.
Sally Piff is the Quantitative Methods tutor in the School of Management, University of East Anglia, UK.
Businesses are built on numbers; in any organization the ability to use and interpret quantitative methods is vital to maintaining a competitive edge. Quantitative Methods for Business, Management and Finance is a comprehensive, easy-to-follow guide to the subject, painlessly leading you from fundamental principles to more advanced applications. It is an essential text for undergraduate students of business, management and finance, as well as for those on MBA and postgraduate courses.
Each topic is explained in a clear, friendly style, and accompanied by examples, exercises and activities, making the text ideal for self-tuition. This highly successful learning-by-doing approach, coupled with the book's clear structure, make the understanding of essential mathematical skills achievable - and even enjoyable!
Key benefits:
• From basics to business modelling: maths revision through to probability, statistics and more, all in one text
• Suitable for all maths backgrounds – an optional introductory part teaches mathematical essentials from scratch
• Refreshingly non-technical writing style – user-friendly and engaging, avoiding excessive theory
• Practical guidance on using IBM SPSS and Microsoft Excel
• Brand new 'Moving on...' feature with integrated web and book activities for Business Modelling chapters, relating theory to the real world
The companion website offers lecturers a testbank, PowerPoint slides, and assessment solutions. Students will find multiple choice practice questions, data sets, and extra exercises.
LOUISE SWIFT taught quantitative methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician.
SALLY PIFF is Lecturer in Quantitative Methods at Norwich Business School, University of East Anglia, UK.
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