Numbers Guide : Essentials of Business Numeracy

I've been looking for an easy to read, understand and all rounder book in business math and finally i found it. Number Guide is, in most part what I've been looking for. I've been looking for a quick reference that would help me in recalling many math basics especially statistics basics and to be honest was a little lazy in going through a complete course again, however, this book did a great job and served as a compromise for me. I enjoy reading this book everywhere and whenever I have time. Even reading it early morning in the rest room before going to work. This book is an excellent starting point for a more comprehensive, easy to understand number guide detailed book which I hope the author think of writing it as I assure him it would be a best seller and a must have reference for both students and practitioners. Thanks economist for the excellent serious of books that I became one of its fans.

Appreciative readers (they tend to be long-term readers as well) of the ECONOMIST sometimes wonder why misspellings and non sequiturs are virtually absent from that superb weekly magazine. The answer?: an obsessive dedication to editorial rigor, nowhere better exemplified than in this 'style guide' for the numbers set. It doubles as a methodological guide, for it sets out near canonical equations and means for solving economic problems. Nine chapters cover: Key concepts Finance and investment Descriptive measures for interpretation and analysis Tables and charts Forecasting techniques Sampling and hypothesis testing Incorporating judgments into decisions Decision-making in action Linear programming and networking This guide should be required reading for everyone who manages from a numbers-intensive platform.

I have read cover-to-cover a previous edition of this book (when it was published by Wiley in 1998) and recently had an opportunity to carefully peruse this current edition (5th ed. by Bloomberg Press???). What I found is that this is a strange case of how a great book (the 1998 edition) turned into merely a good book (this 5th edition). Because of this regression toward the average, I deducted one star from my review (but still feel that it is good enough for 4 stars).As you may have noticed, I really loved the older edition of The Economist Numbers Guide that I thankfully own. It is a great overview and introduction of mathematics as it relates to business. There are a lot of great things about that edition of this book. One of the things I admired about it was the range of topics covered, from interest rates and basic probability/statistics all the way up to Markov Chains, linear programming, and marginal analysis. It is hard to find the breadth of topics covered in that book elsewhere - whether all in one book or in any combination of books.So I found it perplexing that this 5th edition dedacted some materials and topics covered in older editions. Gone are the interesting discussion of descriptive statistics for sets of data that do not easily conform to any of the standard probability distributions (e.g., where median is the best measure of the 'average' and substitutes must be used for the more common parameters such as standard deviation). I have a hard time finding anything coherent much less accessible on those topics elsewhere so it is a shame that they were left off of the 5th edition.The only new material (not previously present) is a short blurb on public-key cryptography. While that topic is interesting to me and the limited discussion was illuminating and mathematically sound, it seemed a rather quixotic choice to put in when some interesting materials in previous editions were left off and new material that would have been more useful to the targeted audience have yet to be added.What I mean by useful material that have yet to be added is that both the 1998 edition and this edition don't have some materials that I would think naturally ought to be added. E.g., the section on finance & investment mathematics is mostly devoted to various discussions on interest rate/time value of money & basic probability. I think adding material on CAPM (although CAPM Beta is defined in the book's very helpful glossary section), option/derivative pricing, financial portfolio optimization, and other topics in financial mathematics/engineering would make a great and natural addition to this book.Some problems common to both the prior and current edition of this book are the occassional (relatively rare) typos. They are usually minor (although they are most annoyingly frequent in the section on time value of money / interest rates).Another flaw in both the older and newer editions is that there are gaps in the expository material that don't make m

This book provides concise and clear definitions of business analytics with practical applications. Excellent for the neophyte in business math. Helpful index and glossary to get started. Good guide to use if learning stats or marketing research.

For a novice in economics, not an easy field to be a novice in, this was a helpful book. It got me started, by which I mean I wasn't completely lost when I read it.