Quinn, G. P. <br/><br/>
Experimental design and data analysis for biologists./ by 
Gerry P. Quinn, Victoria, Michael J. Keough,  
 - Second edition. 
 - United Kingdom ;  Cambridge University ,   2024. 
 - xix,387 p.;  ill.,  28cm 
<br/><br/> Revised edition of: Experimental design and data analysis for biologists / Gerry P. Quinn, Michael J. Keough. 2002. 
<br/><br/>Includes bibliographical references. 
<br/><br/>1.1 Almost every biological theory or hypothesis is a model of how nature works.<br/> -- 1.2 We use data to separate wrong models from (possibly) correct ones (or bad models from less bad ones).<br/> -- 1.3 There are many ways to reach wrong conclusions!<br/> -- 1.4 There are also many ways to be right!<br/> -- 1.5 Our philosophy in this books.<br/> -- 1.6 How this book is structured.<br/> -- 1.7 A bit of housekeeping.  1. Introduction.<br/> 2.1 Samples, population, and statistical inference.<br/> -- 2.2 Probability.<br/> -- 2.3 Probability distributions.<br/> -- 2.4 Frequentist ("classical") estimation.<br/> -- 2.5 Hypothesis testing.<br/> -- 2.6 Comments on frequentist inference.<br/> -- 2.7 Bayesian statistical inference.  2. Things to Know Before Proceeding.<br/> 3.1 Sampling design.<br/> -- 3.2 Experimental design.<br/> -- 3.3 Sample size for detecting differences: power analysis.<br/> -- 3.4 Key points.  3. Sampling and Experimental Design.<br/> 
<br/><br/><label>ISBN: </label>9781107687677 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biometry.
<br/><br/><label>Dewey Class. No.: </label>570.151  / QUE