basic statistics understanding conventional methods and modern insights jul 2009

[...]... declares the values 20, 240, and 250 outliers 26 What do the last three problems suggest about the boxplot rule versus the classic rule for detecting outliers? 2.5 Some modern advances and insights During the last half-century, and particularly during the last twenty years, there have been major advances and insights relevant to the most basic methods covered in an introductory statistics course Most of... academics do an excellent job of constantly adding and updating routines aimed at applying modern techniques A wide range of modern methods can be applied using the basic package And many specialized methods are available via packages available at the R web site A library of R functions especially designed for applying the newest methods for comparing groups and studying associations is available at www-rcf.usc.edu/˜rwilcox/.1... and improved methods for comparing groups and studying associations, which have appeared during the last half-century, it must be given a poor rating An additional concern is that it has less flexibility than R and S-PLUS That is, it is a relatively simple matter for statisticians to create specialized R and S-PLUS code that provides non-statisticians with easy access to modern methods Some modern methods. .. logic and methodology for the measurement of uncertainty and for examination of the consequences of that uncertainty in the planning and interpretation of experimentation and observation The logic and associated technology behind modern statistical methods pervades all of the sciences, from astronomy and physics to psychology, business, manufacturing, sociology, economics, agriculture, education, and. .. teaching and learning statistics It might help to comment on the goals of this book versus the general goal of teaching statistics An obvious goal in an introductory course is to convey basic concepts and methods A much broader goal is to make the student a master of statistical techniques A single introductory book cannot achieve this latter goal, but it can provide the foundation for understanding. .. minor and of little importance when applying the methods covered in this book (The R functions mentioned in this book are available as S-PLUS functions, which are stored in the files allfunv1-v7 and allfunv2-v7 and which can be downloaded in the same manner as the files Rallfunv1-v7 and Rallfunv2-v7.) Very good software SAS is another software package that provides power and excellent flexibility Many modern. .. R functions aimed at applying the modern methods mentioned in this book plus many other methods covered in more advanced courses (On the zumastat web page, click on robust statistics to get more information.) The software EXCEL is relatively easy to use, it provides some flexibility, but generally modern methods are not readily applied A recent review by McCullough and Wilson (2005) concludes that this... been done as yet for some of the methods to be described Good software Minitab is fairly simple to use and provides a reasonable degree of flexibility when analyzing data All of the standard methods developed prior to the year 1960 are readily available Many modern methods could be run in Minitab, but doing so is not straightforward Like SAS, special Minitab code is needed and writing this code would take... understand data, but in the 1960s it became evident that serious practical problems needed attention Indeed, since 1960, three major insights revealed conditions where methods routinely used today can be highly unsatisfactory Although the many new tools for dealing with known problems go beyond the scope of this book, it is essential that a foundation be laid for appreciating modern advances and insights, ... illustrating some of the important features of modern methods (Unless stated otherwise, whenever the name of an R function is supplied, it is a function that belongs to the two files Rallfunv1-v7 and Rallfunv2-v7, which can be downloaded from the site just mentioned.) S-PLUS is another excellent software package It is nearly identical to R and the basic commands are the same One of the main differences . class="bi x0 y0 w0 h0" alt="" BASIC STATISTICS This page intentionally left blank BASIC STATISTICS Understanding Conventional Methods and Modern Insights Rand R. Wilcox 3 2009 3 Oxford University. Cataloging-in-Publication Data Wilcox, Rand R. Basic statistics : understanding conventional methods and modern insights / Rand R. Wilcox. p. cm. Includes bibliographical references and index. ISBN 978-0-19-531510-3 1 ignore these insights andfocus on methods that were developed priorto theyear 1960.However, these insights have tremendous implications regarding basic principles and techniques, and so a simple