- Paperback: 656 pages
- Publisher: John Wiley & Sons; 2nd Edition edition (4 Mar 1996)
- Language English
- ISBN-10: 0471574244
- ISBN-13: 978-0471574248
- Product Dimensions: 25.9 x 21 x 3.1 cm
- Amazon Bestsellers Rank: 2,242,799 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
Introductory statistics book for the non–technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.
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1 review
Good for seeing behind formulas..
21 Dec 2005
Format:Paperback
First beware: this book is introductory and is targeted towards those whose background does not cover a fair amount of calculus. Therefore if you are comfortable with calculus and following a bunch of formulas and assumptions expressed in math, and that is exactly what you want to do, go for other statistics books crafted towards engineers.
I am also an engineer and I wanted to get a grasp of the simple logic behind statistics and data analysis, and the narrative in this book presented an "easy reading". Although the formulas and methods might not help when reading some advanced books (I went on to reading simulation after this after reviewing another book crafted towards engineers), the insight remains and it gets easier to see the connections behind the formulas and various assumptions.
I am also an engineer and I wanted to get a grasp of the simple logic behind statistics and data analysis, and the narrative in this book presented an "easy reading". Although the formulas and methods might not help when reading some advanced books (I went on to reading simulation after this after reviewing another book crafted towards engineers), the insight remains and it gets easier to see the connections behind the formulas and various assumptions.
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