Authors:
- Guides researchers in physical, biological, and social sciences who are not statistical specialists, but who require the use of statistical methods
- Covers methods and concepts used/applied in a wide range of scientific applications, and not commonly covered in a first course
- Provides a source for responding to questions or challenges concerning choices of statistical methods
- Includes R code and sample datasets
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Global Medical & Clinical Affairs, Ascensia Diabetes Care, Valhalla, USA
Scott Pardo
About the author
Bibliographic Information
Book Title: Statistical Analysis of Empirical Data
Book Subtitle: Methods for Applied Sciences
Authors: Scott Pardo
DOI: https://doi.org/10.1007/978-3-030-43328-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43327-7Published: 05 May 2020
Softcover ISBN: 978-3-030-43330-7Published: 05 May 2021
eBook ISBN: 978-3-030-43328-4Published: 04 May 2020
Edition Number: 1
Number of Pages: XI, 277
Number of Illustrations: 140 b/w illustrations, 10 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Bayesian Inference, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law