This textbook introduces the basic concepts from probability theory
and statistics which are needed for statistical analysis of data
encountered in the biological and health sciences. No previous
study is required. Advanced mathematical tools, such as integration
and differentiation, are kept to a minimum. The emphasis is put on
the examples. Probabilistic methods are discussed at length, but
the focus of this edition is on statistics.The examples are kept
simple, so that the reader can learn quickly and see the usefulness
of various statistical and probabilistic methods. Some of the
examples used in this book draw attention to various problems
related to environmental issues, climate change, loss of
bio-diversity, and their impact on wildlife and humans.In
comparison with the first edition of the book, this second edition
contains additional topics such as power, sample size computation
and non-parametric methods, and includes a large collection of new
problems, as well as the answers to odd-numbered problems. Several
sections of this edition are accompanied by instructions using the
programming language R for statistical computing and graphics.The
Solution Manual is available upon request for all instructors who
adopt this book as a course text. Please send your request to
[email protected].
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