01872nam a2200265 4500 20260827132220.0 260827s2024 uk a|||| |||| 001 0 eng d 9781107687677 Central Library - University of Barisal CL-UB 570.151 QUE Quinn, G. P. 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 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/> Biometry. Keough, Michael J., ddc 0 BK 5103 5103 0 0 ddc 0 0 DOSES CLUOB CLUOB SL32 2026-08-27 0 570.151 QUE 2024 20127 2026-08-27 00:00:00 2026-08-27 BK