Statistical Analysis of Laboratory Data: Testing

This second volume in a projected three-volume series provides the reader with a deep understanding of the basic theory required to carry out the statistical tests of laboratory data. The approach is visual and conversational -- slow, steady, and effective. The book segues from frequentist interpretations to Bayesian interpretations of common statistical tests: one-sample t test, two-sample t test, paired t test, F test, and one-way ANOVA. Discussions of p values, outliers, and the central limit theorem are included. The books in this series are highly recommended as companion volumes for students beginning their first studies of statistics, whether in academia or industry -- the individual volumes present important statistical concepts with more clarity, depth, and breadth than are found in typical beginning textbooks.