• Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (March 3, 2021)
• Language ‏ : ‎ English
• FORMAT: ORIGINAL PDF/PRINT REPLICA
• ISBN-10 ‏ : ‎ 303062403X
• ISBN-13 ‏ : ‎ 978-3030624033

A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance.