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Statistics Explained An Introductory Guide for Life Scientiest~tqw~ darksiderg

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       Statistics Explained: An Introductory Guide for Life Scientiest
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                              General Information
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Type.................: Ebook
Part Size............: 2,648,040 bytes
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Posted by............: ~tqw~

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                                 Release Notes
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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. 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 analyse their own data
sets. Presented in a lively and straight-forward 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.

Table Of Contents

Preface page xi
1 Introduction 1
2 ‘Doing science’ – hypotheses, experiments, and disproof 7
3 Collecting and displaying data 14
4 Introductory concepts of experimental design 27
5 Probability helps you make a decision about your results 44
6 Working from samples – data, populations, and statistics 57
7 Normal distributions – tests for comparing the means of one and two samples 77
8 Type 1 and Type 2 errors, power, and sample size 96
9 Single factor analysis of variance 105
10 Multiple comparisons after ANOVA 119
11 Two factor analysis of variance 127
12 Important assumptions of analysis of variance: transformations and a test for
   equality of variances 151
13 Two factor analysis of variance without replication,
   and nested analysis of variance 162
14 Relationships between variables: linear correlation and linear regression 176
15 Simple linear regression 186
16 Non-parametric statistics 205
17 Non-parametric tests for nominal scale data 208
18 Non-parametric tests for ratio, interval, or ordinal scale data 224
19 Choosing a test 246
20 Doing science responsibly and ethically 255
References 261
Index 263

Product Details

    * ISBN: 0521543169
    * ISBN-13: 9780521543163
    * Format: Paperback, 280pp
    * Publisher: Cambridge University Press
    * Pub. Date: December 2005

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