Introduction to Nonparametric Statistics for the Biological Sciences Using R

Authors: MacFarland, Thomas W., Yates, Jan M.

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  • Eight self-contained lessons instructing how to use R to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively
  • From data to final interpretation of outcomes - starts with a simple real-world data set from the biological sciences and outlines step-by-step guidance on how R can be used to address nonparametric data analysis and the generation of graphical images to promote effective communication of outcomes
  • Focuses on data review and accompanying data quality review processes - so that outcomes can be trusted and hold up to peer review
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eBook 67,82 €
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  • ISBN 978-3-319-30634-6
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Hardcover 83,19 €
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Softcover 83,19 €
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  • ISBN 978-3-319-80856-7
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:

  • To introduce when nonparametric approaches to data analysis are appropriate
  • To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test
  • To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set

The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

About the authors

Thomas W. MacFarland, Ed.D., is Associate Professor (Computer Technology) at Nova Southeastern University in Fort Lauderdale, Florida.  He joined the Graduate School of Computer and Information Sciences in 1988 and provides consulting services to the university community on research methods and statistical design as well as individual research on institutional concerns and assessment of student learning.  Dr. MacFarland's areas of research include institutional research, assessment of student learning outcomes, federal data resources, and K-12 computer science education.
Jan Yates, Ph.D., is Associate Professor of Educational Media and Computer Science Education at Nova Southeastern University's Abraham S. Fischler College of Education in Fort Lauderdale, Florida. Since 2001, she has worked in the areas of curriculum development, program assessment and review, and accreditation.

Table of contents (9 chapters)

  • Nonparametric Statistics for the Biological Sciences

    MacFarland, Thomas W. (et al.)

    Pages 1-50

    Preview Buy Chapter 30,19 €
  • Sign Test

    MacFarland, Thomas W. (et al.)

    Pages 51-76

    Preview Buy Chapter 30,19 €
  • Chi-Square

    MacFarland, Thomas W. (et al.)

    Pages 77-102

    Preview Buy Chapter 30,19 €
  • Mann–Whitney U Test

    MacFarland, Thomas W. (et al.)

    Pages 103-132

    Preview Buy Chapter 30,19 €
  • Wilcoxon Matched-Pairs Signed-Ranks Test

    MacFarland, Thomas W. (et al.)

    Pages 133-175

    Preview Buy Chapter 30,19 €

Buy this book

eBook 67,82 €
price for Spain (gross)
  • ISBN 978-3-319-30634-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 83,19 €
price for Spain (gross)
  • ISBN 978-3-319-30633-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 83,19 €
price for Spain (gross)
  • ISBN 978-3-319-80856-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Nonparametric Statistics for the Biological Sciences Using R
Authors
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-30634-6
DOI
10.1007/978-3-319-30634-6
Hardcover ISBN
978-3-319-30633-9
Softcover ISBN
978-3-319-80856-7
Edition Number
1
Number of Pages
XV, 329
Number of Illustrations
1 b/w illustrations, 64 illustrations in colour
Topics