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

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  *******************************************************************************<br /> Statistics Explained: An Introductory Guide for Life Scientiest <br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 2,648,040 bytes<br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> Statistics Explained is a reader-friendly introduction to experimental design <br /> and statistics for undergraduate students in the life sciences, particularly <br /> those who do not have a strong mathematical background. Hypothesis testing and <br /> experimental design are discussed first. Statistical tests are then explained <br /> using pictorial examples and a minimum of formulae. This class-tested approach, <br /> along with a well-structured set of diagnostic tables will give students the <br /> confidence to choose an appropriate test with which to analyse their own data <br /> sets. Presented in a lively and straight-forward manner, Statistics Explained <br /> will give readers the depth and background necessary to proceed to more advanced <br /> texts and applications. It will therefore be essential reading for all <br /> bioscience undergraduates, and will serve as a useful refresher course for more <br /> advanced students. <br /> <br /> Table Of Contents<br /> <br /> Preface page xi<br /> 1 Introduction 1<br /> 2 &lsquo;Doing science&rsquo; &ndash; hypotheses, experiments, and disproof 7<br /> 3 Collecting and displaying data 14<br /> 4 Introductory concepts of experimental design 27<br /> 5 Probability helps you make a decision about your results 44<br /> 6 Working from samples &ndash; data, populations, and statistics 57<br /> 7 Normal distributions &ndash; tests for comparing the means of one and two samples 77<br /> 8 Type 1 and Type 2 errors, power, and sample size 96<br /> 9 Single factor analysis of variance 105<br /> 10 Multiple comparisons after ANOVA 119<br /> 11 Two factor analysis of variance 127<br /> 12 Important assumptions of analysis of variance: transformations and a test for <br /> equality of variances 151<br /> 13 Two factor analysis of variance without replication,<br /> and nested analysis of variance 162<br /> 14 Relationships between variables: linear correlation and linear regression 176<br /> 15 Simple linear regression 186<br /> 16 Non-parametric statistics 205<br /> 17 Non-parametric tests for nominal scale data 208<br /> 18 Non-parametric tests for ratio, interval, or ordinal scale data 224<br /> 19 Choosing a test 246<br /> 20 Doing science responsibly and ethically 255<br /> References 261<br /> Index 263<br /> <br /> Product Details<br /> <br /> * ISBN: 0521543169<br /> * ISBN-13: 9780521543163<br /> * Format: Paperback, 280pp<br /> * Publisher: Cambridge University Press<br /> * Pub. Date: December 2005<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader
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