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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Teachers Manual, Test Bank, CTB (IBM), CTB (Mac), Study Guide available. -- The publisher, John Wiley & Sons
--This text refers to an alternate
Paperback
edition.
From the Publisher
A straightforward book that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. Divided into three sections, it begins with a description of data in general and groups of numbers in particular. Part two develops concepts of randomness, probability and statistical inference. Lastly, it applies these ideas to more complex data structures and the analysis of relationships. This edition contains more problems, exercises and updated examples. Computer output is systematically included throughout the text.
--This text refers to an alternate
Paperback
edition.
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4.0 out of 5 stars
Good for seeing behind formulas..,
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This review is from: Statistics and Data Analysis: An Introduction (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.
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Citations (learn more)
26
books
cite this book:
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- Sojourns And Extremes of Stochastic Processes (Wadsworth Biology Series) by Simeon Berman in Front Matter
- Mathematics of Derivative Securities (Publications of the Newton Institute) by Michael A. H. Dempster on page 453
- Simulation Methodology for Statisticians, Operations Analysts, and Engineers. Vol. 1 by P. W. A. Lewis in Front Matter
- Applied Regression Analysis, Linear Models, and Related Methods by John Fox in Back Matter
- A Manual for Wildlife Radio Tagging, Second Edition (Biological Techniques) by Robert E. Kenward in Back Matter
See all 26 books citing this book
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