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In the many fields beginning to use mathematics widely (business, biology, the social and political science, for example) a knowledge of statistics has become almost as imperative as the ability to read and write. This useful volume promises to be the salvation of those who, despite a distaste for math, need to use statistics in their work. Approaching the topic through logic and common sense rather than via complex mathematics, the author introduces the principle and applications of statistics, and teaches his reader to extract truth and draw valid conclusions from numerical data.
An indispensable first chapter warns the reader on the ways he can be misled by numbers, and the ways in which numbers are used to misrepresent the truth (arithmetical errors, false percentages, fictitious precision, incomplete data, faulty comparisons, improper sampling, failure to allow for the effect of chance and misleading presentation). There follows a wealth of information on probability, sampling, averages and scatter, the design of investigations, significance tests — all presented in terms of specific, carefully worked out cases that make them both interesting and immediately understandable to the layman. The book is so entertaining, so eminently practical, that you'll gain expertise in the laws of chance, probability formulae, sampling methods, calculating the arithmetic mean and standard deviation, finding the geometric and the logarithmic mean, constructing an effective experiment or investigation using statistics, and a wide range of tests determining significance (zM test, X2 text, runs test for randomness and a number of others) and scores of other important skills — in a form so palatable you'll hardly realize how much you are learning, Scores of tables illustrate the text, and a complete table of squares and square roots is provided for your convenience. A handy guide to significance tests helps you to choose the test valid and appropriate for your data with speed and ease.
Written with humor, clarity, and eminent good sense by a scientist of international reputation, this book is for anyone who wants to dispel the mystery of the numbers that pervade modern life, from news articles to literary criticism. For the biologist, sociologist, experimental psychologist or anyone whose profession requires the handling of a large mass of data, it will be of incalculable value.
- Sales Rank: #509145 in eBooks
- Published on: 2013-04-26
- Released on: 2013-04-26
- Format: Kindle eBook
Most helpful customer reviews
54 of 54 people found the following review helpful.
If you only own one statistics book...
By A Customer
If you only own one statistics book, this should be it! In than 20 years of working with laypeople, engineering and biology undergraduates and grad. students and medical students, this has proven to be the most reliable, intelligible and accessible single volume on how to treat experimental and observational data in a sound, statistically valid, way. Of particular value is a table in the back (Guide to Significance Tests) which takes a "leaf identification" approach to selection of the most appropriate test. Many good examples and problems with solutions makes this an excellent self study text.
Jonathan Black, Professor Emeritus, Clemson University.
32 of 33 people found the following review helpful.
Simple, clear, and hard-working
By wiredweird
Maybe you're just getting started as a stats user, maybe you're only an occasional user who doesn't want to relearn the whole field just to get quick answers. In either case, this book might be one of the best around.
The first half of the book is background: a little probability, a little bit about sampling and experimental design, a little about the most basic and common statistics (means, quartiles, etc).
The second half of the book offers a number of basic parametric and non-parametric significance tests. Langley describes each one, when it is applicable, and how to perform the calculations. He doesn't stray far into the slick computing tricks of the pre-calculator days, so the structure of each calculation stays reasonably clear.
The only real weakness in this book is its lack of index. That is especially incovenient because the tables, a staple of most stats books, are interleaved with the text. The table of contents is descriptive, but doesn't replace an index. The other problem, and not really a flaw in the book, is that it's easy to outgrow this text. Even moderately heavy stats users need a bit more theory and background, to allow meaningful adaptation to new conditions. The author has chosen an audience, though, and has addressed that audience and its needs very well. If your skills are beyond those of the intended reader, that's not a fault of the book.
Basic, clear, and reasonably broad - it's everything that an ordinary, casual stat user could want.
24 of 24 people found the following review helpful.
Lives up to its title
By Amazon Customer
This book is really written to be useful practically, and in that sense it is very successful. It is also written very concisely, so it is likely that it will clear many doubts. However, there are almost no theoretical explanations at all. In this sense, it is not a book that contributes to the theoretical understanding of statistics; so don't expect to know more about theory of statistics using this book; instead get ``Principles of Statistics" by M.G.Bulmer. This is a book to keep on the desk to help do practical statistical calculations and make inferences.
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