Sunday, November 28, 2010

Statistics Explained Epub

Statistics Explained



Author: Steve McKillup
Edition:
Publisher: Cambridge University Press
Binding: Paperback
ISBN: 0521543169



Statistics Explained: An Introductory Guide for Life Scientists


Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Medical books Statistics Explained. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables, will give students the confidence to choose an appropriate test with which to analyze their own data sets. Presented in a lively and straightforward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications Medical books Statistics Explained [ebook]. Do you need help with statistics? Are you confused by the wide range of statistical tests and their uses? Statistics Explained clearly outlines the major statistical tests used by undergraduates in psychology

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Download link for Statistics Explained AnIntroductory Guide for Life Scientists

Do you need help with statistics? Are you confused by the wide range of statistical tests and their uses? Statistics Explained clearly outlines the major statistical tests used by undergraduates in psychology

Statistics Explained: A Guide for Social Science Students, 2nd Edition - Perry Hinton

Categories: Statistics, Medicine - Biostatistics * General, Life sciences->Statistical method. Contributors: Steve McKillup - Author. Format: Paperback

Categories: Statistics, Medicine - Biostatistics * General, Life sciences->Statistical methods. Contributors: Steve McKillup - Author. Format: Hardcover



Medical Book Statistics Explained



Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables, will give students the confidence to choose an appropriate test with which to analyze their own data sets. Presented in a lively and straightforward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.

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