Statistical Research Methods

From the book reviews:

This book provides a guide on the application of the R statistical software to solutions of standard statistical problems. It is written for non-statisticians, mainly biologists and physicians. Some general explanations of statistical methodology with simple formulas are presented. The book topics include proportions comparison, contingency tables, two-sample means comparisons, ANOVA, linear regression, measures of association. Classical visualization tools are also discussed, such as histograms, QQ and scatterplots. (R. E. Maiboroda, zbMATH 1306. 62022, 2015)

This book focuses on helping a researcher conduct
their own analysis of data. The book lays out the process of basic statistical
analysis, the importance of assumptions, and how to communicate the results. It emphasizes a disciplined
approach, a thorough examination of the assumptions and a structured
communication of the results, which are valuable commodities in all settings.
(Roger M. Sauter, Technometrics,
Vol. 56 (4), November, 2014)