# understanding and applying basic statistical methods using r statistics in practice

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## Understanding And Applying Basic Statistical Methods Using R

Author : Rand R. Wilcox
ISBN : 9781119061403
Genre : Social Science
File Size : 58. 85 MB
Format : PDF, Docs

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

## The Basic Practice Of Statistics

Author : David S. Moore
ISBN : 9781429224260
Genre : Mathematics
File Size : 30. 39 MB
Format : PDF, Docs

The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course's relevance and difficulties head on. With David Moore's pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore's text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.

## Introduction To Statistics For Biomedical Engineers

Author : Kristina M. Ropella
ISBN : 9781598291964
Genre : Mathematics
File Size : 86. 6 MB
Format : PDF, ePub, Docs

## Applied Spatial Statistics For Public Health Data

Author : Lance A. Waller
ISBN : 0471662674
Genre : Mathematics
File Size : 75. 43 MB
Format : PDF

An application-based introduction to the statistical analysis ofspatially referenced health data Sparked by the growing interest in statistical methods for theanalysis of spatially referenced data in the field of publichealth, Applied Spatial Statistics for Public Health Datafills the need for an introductory, application-oriented text onthis timely subject. Written for practicing public healthresearchers as well as graduate students in related fields, thetext provides a thorough introduction to basic concepts and methodsin applied spatial statistics as well as a detailed treatment ofsome of the more recent methods in spatial statistics useful forpublic health studies that have not been previously coveredelsewhere. Assuming minimal knowledge of spatial statistics, the authorsprovide important statistical approaches for assessing suchquestions as: Are newly occurring cases of a disease "clustered" inspace? Do the cases cluster around suspected sources of increasedrisk, such as toxic waste sites or other environmentalhazards? How do we take monitored pollution concentrations measured atspecific locations and interpolate them to locations where nomeasurements were taken? How do we quantify associations between local disease rates andlocal exposures? After reviewing traditional statistical methods used in publichealth research, the text provides an overview of the basicfeatures of spatial data, illustrates various geographic mappingand visualization tools, and describes the sources of publiclyavailable spatial data that might be useful in public healthapplications.

Author : Trevor Wegner
ISBN : 0702172863
File Size : 42. 53 MB
Format : PDF, Docs

Empowering management students with statistical decision-making skills, this text instructs on how to become active participants where statistical findings are reported. Descriptions are provided of the vast role that statistics play in fields such as marketing, finance, human resources, production, and logistics. Rather than being a passive observer, this guide educates the meaning behind the numbers that allow those in business situations to be informed members of the decision-making process.

## Statistical Practice In Business And Industry

Author : Shirley Coleman
ISBN : 9780470997475
Genre : Mathematics
File Size : 72. 40 MB
Format : PDF, ePub, Docs

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.

## Statistical Methods For Practice And Research

Author : Ajai S Gaur
ISBN : 9788132118596
File Size : 36. 84 MB
Format : PDF, ePub

There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. After providing a brief overview of SPSS and basic statistical concepts, the book covers: - Descriptive statistics - t-tests, chi-square tests and ANOVA - Correlation analysis - Multiple and logistics regression - Factor analysis and testing scale reliability - Advanced data handling Illustrated with simple, practical problems, and screen shots, this book outlines the steps for solving statistical problems using SPSS. Although the illustrations are based on version 16.0 of SPSS, users of the earlier versions will find the book equally useful and relevant. Written in a reader-friendly, non-technical style, this book will serve as a companion volume to any statistics textbook.

## Statistical Methods For Trend Detection And Analysis In The Environmental Sciences

Author : Richard Chandler
ISBN : 9781119991960
Genre : Mathematics
File Size : 60. 56 MB
Format : PDF

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

## R For Medicine And Biology

Author : Paul D. Lewis
ISBN : 9781449613105
Genre : Computers
File Size : 51. 73 MB
Format : PDF, ePub, Docs

R is quickly becoming the number one choice for users in the fields of biology, medicine, and bioinformatics as their main means of storing, processing, sharing, and analyzing biomedical data. R for Medicine and Biology is a step-by-step guide through the use of the statistical environment R, as used in a biomedical domain. Ideal for healthcare professionals, scientists, informaticists, and statistical experts, this resource will provide even the novice programmer with the tools necessary to process and analyze their data using the R environment. Introductory chapters guide readers in how to obtain, install, and become familiar with R and provide a clear introduction to the programming language using numerous worked examples. Later chapters outline how R can be used, not just for biomedical data analysis, but also as an environment for the processing, storing, reporting, and sharing of data and results. The remainder of the book explores areas of R application to common domains of biomedical informatics, including imaging, statistical analysis, data mining/modeling, pathology informatics, epidemiology, clinical trials, and metadata usage. R for Medicine and Biology will provide you with a single desk reference for the R environment and its many capabilities.

## Nonparametric Statistical Methods Using R

Author : John Kloke
ISBN : 9781439873434
Genre : Mathematics
File Size : 35. 34 MB
Format : PDF, Kindle