Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
Boslaugh, Sarah, Watters, Paul Andrew, Dr.
Idioma: inglés
Editorial: O'Reilly Media, 2008
- Tapa blanda
- Usado
Librería: Wonder Book, Frederick, MD, Estados Unidos de AmericaWonder Book
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Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
N° de ref. del artículo N18N-00511
- Título
- Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
- Autor
- Boslaugh, Sarah, Watters, Paul Andrew, Dr.
- Editorial
- O'Reilly Media
- Año de publicación
- 2008
- Estado
- Very Good
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 0596510497
- ISBN 13
- 9780596510497
Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.
You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis.
Organized into four distinct sections, Statistics in a Nutshell offers you:
-
Introductory material:
- Different ways to think about statistics
- Basic concepts of measurement and probability theory
- Data management for statistical analysis
- Research design and experimental design
- How to critique statistics presented by others
- Basic concepts of inferential statistics
- The concept of correlation, when it is and is not an appropriate measure of association
- Dichotomous and categorical data
- The distinction between parametric and nonparametric statistics
- The General Linear Model
- Analysis of Variance (ANOVA) and MANOVA
- Multiple linear regression
- Business and quality improvement statistics
- Medical and public health statistics
- Educational and psychological statistics
Basic inferential statistics:
Advanced inferential techniques:
Specialized techniques:
Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.
With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.
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Acerca del autor
Sarah Boslaugh holds a PhD in Research and Evaluation from the City University of New York and have been working as a statistical analyst for 15 years, in a variety of professional settings, including the New York City Board of Education, the Institutional Research Office of the City University of New York, Montefiore Medical Center, the Virginia Department of Social Services, Magellan Health Services, Washington University School of Medicine, and BJC HealthCare. She has taught statistics in several different contexts and currently teaches Intermediate Statistics at Washington University Medical School. She has published two previous books: An Intermediate Guide to SPSS Programming: Using Syntax for Data Management (SAGE Publications, 2004) and Secondary Data Sources for Public Health (forthcoming from Cambridge U. Press, 2007) and am currently editing the Encyclopedia of Epidemiology for SAGE Publications (forthcoming, 2007).
Paul A. Watters PhD CITP, is Associate Professor in the School of Information and Mathematical Sciences and Centre for Informatics and Applied Optimization (CIAO) at the University of Ballarat. Until recently, he was Head of Data Services at the Medical Research Council's National Survey of Health and Development, which is the oldest of the British birth cohort studies, and an honorary senior research fellow at University College London. He uses multivariate statistics to develop orthogonal and non-orthogonal methods for feature extraction in pattern recognition, especially in biometric applications.
“Acerca de” puede pertenecer a otra edición de este título.
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