Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subjec
Some multivariate methods have been specifically designed to decompose the variability between codon usage within the differently abundantamino acids (Grantham et al., 1981; Perrière and Thioulouse, 2002), and this enables discovery of ...
The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w
This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them.
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.
Without the wolf, many predator–prey dynamics had changed, with one prominent consequence being an explosion of the elk population. As a result, much of the vegetation in the park was consumed, resulting in obvious changes, ...
This is a textbook for a one-semester introductory course in statistics for undergraduate biology majors, students in pre-professional programs in the health sciences, and anybody interested in learning the basics of statistics in a ...
Statistics for Biologists
The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples.
2004. “Extra-Pair Paternity Does Not Result in Differential Sexual Selection in the Mutually Ornamented Black Swan (Cygnus atratus).” Molecular Ecology 13:1625–1633. Lilienfeld, A. M., and D. E. Lilienfeld. 1980.
The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods.