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Statistical Analysis of Empirical Data - Methods for Applied Sciences (Hardcover, 1st ed. 2020)
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Statistical Analysis of Empirical Data - Methods for Applied Sciences (Hardcover, 1st ed. 2020)
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Researchers and students who use empirical investigation in their
work must go through the process of selecting statistical methods
for analyses, and they are often challenged to justify these
selections. This book is designed for readers with limited
background in statistical methodology who seek guidance in
defending their statistical decision-making in the worlds of
research and practice. It is devoted to helping students and
scholars find the information they need to select data analytic
methods, and to speak knowledgeably about their statistical
research processes. Each chapter opens with a conundrum relating to
the selection of an analysis, or to explaining the nature of an
analysis. Throughout the chapter, the analysis is described, along
with some guidance in justifying the choices of that particular
method. Designed to offer statistical knowledge to the
non-specialist, this volume can be used in courses on research
methods, or for courses on statistical applications to biological,
medical, life, social, or physical sciences. It will also be useful
to academic and industrial researchers in engineering and in the
physical sciences who will benefit from a stronger understanding of
how to analyze empirical data. The book is written for those with
foundational education in calculus. However, a brief review of
fundamental concepts of probability and statistics, together with a
primer on some concepts in elementary calculus and matrix algebra,
is included. R code and sample datasets are provided.
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