TY  - BOOK
AU  - Quinn, G. P.
AU  - Keough, Michael J.,
TI  - Experimental design and data analysis for biologists./ by
SN  - 9781107687677
U1  - 570.151 
PY  - 2024///
CY  - United Kingdom
PB  - Cambridge University
KW  - Biometry
N1  - Revised edition of: Experimental design and data analysis for biologists / Gerry P. Quinn, Michael J. Keough. 2002; Includes bibliographical references; -- 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/>
ER  -