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Quantitative Methods for Business Decisions
Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.
790 pages, Paperback
First published January 1, 1985
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Displaying 1 of 1 review
September 20, 2018
Good introduction to the topic
Very educations / academic in style, i.e. loads of examples and case studies, but also loads of blurp.
Good if you are a student, I think, while, I needed this as a refresher, and would have liked it to be more concise and to the point.
But as I said a solid introduction / refresher.
Where I think this fall short is
- as many books it doesn't always get the balance right: so there is a first chapter explaining to us the basic rules of algrebra, and that a+b = b+a, and what x in y=xm means. The next chapter talks about NPV and IRR. Really? Something is a bit off there... This can be found all over the book, and in fact many books have this issue: It is just easier to write about simple things than complex things, so writer whaffle about the basics, and they: hey, here we go, there is the complex stuff. And you as the reader wonder whether you have missed the point or are just not bright enough to understand the transition from simple to complex.
- one of the worst layouts / designs I have seen in a long time, in best tradition of many academic books
- a bit patronising in tone
- I personally found the mix of chapters in the book, case studies and examples in the book, digtial / online resources in addition tedious. Come on, let's not overdue it, please?
I get the impression that most of what I am criticising above is endemic regarding academic books, and that Universities like books with educational 'features' (there is an entire chapter in this book talkign about its 'features' I did you know). And only those that tick the box will make it on their reading lists, independent on whether they are actually written well...
Very educations / academic in style, i.e. loads of examples and case studies, but also loads of blurp.
Good if you are a student, I think, while, I needed this as a refresher, and would have liked it to be more concise and to the point.
But as I said a solid introduction / refresher.
Where I think this fall short is
- as many books it doesn't always get the balance right: so there is a first chapter explaining to us the basic rules of algrebra, and that a+b = b+a, and what x in y=xm means. The next chapter talks about NPV and IRR. Really? Something is a bit off there... This can be found all over the book, and in fact many books have this issue: It is just easier to write about simple things than complex things, so writer whaffle about the basics, and they: hey, here we go, there is the complex stuff. And you as the reader wonder whether you have missed the point or are just not bright enough to understand the transition from simple to complex.
- one of the worst layouts / designs I have seen in a long time, in best tradition of many academic books
- a bit patronising in tone
- I personally found the mix of chapters in the book, case studies and examples in the book, digtial / online resources in addition tedious. Come on, let's not overdue it, please?
I get the impression that most of what I am criticising above is endemic regarding academic books, and that Universities like books with educational 'features' (there is an entire chapter in this book talkign about its 'features' I did you know). And only those that tick the box will make it on their reading lists, independent on whether they are actually written well...
Displaying 1 of 1 review