Essentials of Statistics for Research (Paperback)
Idioma: inglés
Editorial: Taylor & Francis Ltd, London, 2025
- Tapa blanda
- Nuevo
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Vendedor de AbeBooks desde 22 de junio de 2007
Condición: Nuevo
EUR 108,96
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Paperback. Essentials of Statistics for Research offers a working introduction to essential statistical methods through an accessible conceptual approach without excessive mathematical details. The book emphasizes the importance of good judgment when choosing analysis approaches and illustrates the statistical analysis process through numerous examples. At its core, this text demonstrates how analysis should serve science and illuminate the stories contained within data.Key FeaturesProvides conceptual foundations of a practitioner's statistical toolkit, focusing on the role of normality, hypothesis tests, and confidence intervalsPresents regression methods as core analytical tools while also covering t-based methods for comparing means among groupsDemonstrates how logarithmic transformations capture relativity in relationships (such as exponential increase) rather than simply meeting statistical assumptionsIncludes over 100 graphs and visual representations to enhance understanding of statistical conceptsWritten in an engaging first-person voice that positions the authors as fellow learners alongside the readerEmphasizes stories, examples, and practical applications over abstract theoryThis book is designed for researchers across a broad range of disciplines, from graduate students beginning their research journey to experienced professionals seeking a refresher on statistical methods. The accessible approach makes it particularly valuable for those who need to understand and apply statistical concepts without getting lost in mathematical complexity. Readers will gain practical knowledge they can immediately apply to their own research questions and data analysis challenges. Offers a working introduction to essential statistical methods that uses an accessible conceptual understanding without excessive mathematical details, emphasizes role of good judgment when choosing analysis approaches - analysis should serve the science, shed light on the story contained in the data. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9781041003908
- Título
- Essentials of Statistics for Research (Paperback)
- Autor
- Ken Gerow
- Editorial
- Taylor & Francis Ltd, London
- Año de publicación
- 2025
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1041003900
- ISBN 13
- 9781041003908
Essentials of Statistics for Research offers a working introduction to essential statistical methods through an accessible conceptual approach without excessive mathematical details. The book emphasizes the importance of good judgment when choosing analysis approaches and illustrates the statistical analysis process through numerous examples. At its core, this text demonstrates how analysis should serve science and illuminate the stories contained within data.
Key Features
- Provides conceptual foundations of a practitioner's statistical toolkit, focusing on the role of normality, hypothesis tests, and confidence intervals
- Presents regression methods as core analytical tools while also covering t-based methods for comparing means among groups
- Demonstrates how logarithmic transformations capture relativity in relationships (such as exponential increase) rather than simply meeting statistical assumptions
- Includes over 100 graphs and visual representations to enhance understanding of statistical concepts
- Written in an engaging first-person voice that positions the authors as fellow learners alongside the reader
- Emphasizes stories, examples, and practical applications over abstract theory
This book is designed for researchers across a broad range of disciplines, from graduate students beginning their research journey to experienced professionals seeking a refresher on statistical methods. The accessible approach makes it particularly valuable for those who need to understand and apply statistical concepts without getting lost in mathematical complexity. Readers will gain practical knowledge they can immediately apply to their own research questions and data analysis challenges.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Ken Gerow, PhD, recently retired from the University of Wyoming, where, as a professor of statistics for over thirty years, he taught statistics to quantitative scientists from many disciplines. Dr. Gerow earned his PhD degree in Statistics at Cornell University. He is the author or a coauthor of over ninety research articles, books, and book chapters, in topics ranging from the molecular and cellular world to the visible world around us (plant, animal, and human systems). Ken considers himself to be a parasitic biologist because he only publishes with other people's data.
Jorge A. Navarro Alberto, PhD, is a professor emeritus at the Autonomous University of Yucatán, México, where he specialized in ecological and environmental statistics research. Dr. Navarro Alberto earned his PhD degree in Statistics at the University of Otago, New Zealand. His academic career spanned more than 36 years teaching statistics for biologists, marine biologists, and natural resource managers in Mexico, and as a visiting professor at the University of Wyoming, with a vast experience in teaching multivariate analysis courses for life scientists. He is the co-author of the last edition of the book Randomization, Bootstrap and Monte Carlo Methods in Biology, and the co-editor of Introduction to Ecological Sampling, published by CRC Press. After retirement, Jorge is still active in the professional and academic arenas, working as a (more relaxed) part-time statistical consultant, and as one of the associate editors of the international journal, Environmental and Ecological Statistics. He also member of the Mexican representation at the International Statistical Literacy Project, Finland.
“Acerca de” puede pertenecer a otra edición de este título.
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