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Foundational and Applied Statistics for Biologists Using R (Paperback)
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Foundational and Applied Statistics for Biologists Using R (Paperback)
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Full of biological applications, exercises, and interactive
graphical examples, Foundational and Applied Statistics for
Biologists Using R presents comprehensive coverage of both modern
analytical methods and statistical foundations. The author
harnesses the inherent properties of the R environment to enable
students to examine the code of complicated procedures step by step
and thus better understand the process of obtaining analysis
results. The graphical capabilities of R are used to provide
interactive demonstrations of simple to complex statistical
concepts. Assuming only familiarity with algebra and general
calculus, the text offers a flexible structure for both
introductory and graduate-level biostatistics courses. The first
seven chapters address fundamental topics in statistics, such as
the philosophy of science, probability, estimation, hypothesis
testing, sampling, and experimental design. The remaining four
chapters focus on applications involving correlation, regression,
ANOVA, and tabular analyses. Unlike classic biometric texts, this
book provides students with an understanding of the underlying
statistics involved in the analysis of biological applications. In
particular, it shows how a solid statistical foundation leads to
the correct application of procedures, a clear understanding of
analyses, and valid inferences concerning biological phenomena. Web
ResourceAn R package (asbio) developed by the author is available
from CRAN. Accessible to those without prior command-line interface
experience, this companion library contains hundreds of functions
for statistical pedagogy and biological research. The author's
website also includes an overview of R for novices.
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