A thorough understanding of biology, no matter which subfield, requires a thorough understanding of statistics. As in previous editions, Havel and Hampton (with new co-author Scott Meiners) ground students in all essential methods of descriptive and inferential statistics, using examples from different biological sciences. The authors have retained the readable, accessible writing style popular with both students and instructors. Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code samples showing how to solve many of the book's examples using R. Each chapter features numerous practice and homework exercises, with larger data sets available for download at waveland.com.
The authors have retained the readable, accessible writing style popular with both students and instructors.Pedagogical improvements new to this edition include concept checks in all chapters to assist students in active learning and code ...
This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis.
This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for ...
This book uses examples based on genuine data carefully chosen by the author for their special biological significance.
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.
The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.
Students and professionals will find this text helpful in several important ways: * Presents motivating applications in light of honest theory * Incorporates resampling statistics software throughout * Discusses Outliers by way of detection ...
The correlation procedure is invoked in exactly the same way as for Pearson's correlation (Stat>Basic Statistics>Correlation); the only difference is that we specify the columns containing the ranks, not those with the original data.
The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w
Copious examples throughout the text apply concepts and theories to real questions faced by researchers in biology, environmental science, biochemistry, and health sciences.