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   Statistics Explained: An Introductory Guide for Life Scientiest   

                          General Information  

Type.................: Ebook

Part Size............: 2,648,040 bytes

                           Post Information  

Posted by............: ~tqw~

                             Release Notes  

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  

                             Install Notes  

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