000			nam a22 7a 4500
999			_c29348 _d29348
008			190220b xxu||||| |||| 00| 0 eng d
020			_a9783319560700
082			_a519.5 _bWOL
100			_aWolfe, Douglas A
245			_aIntuitive introductory statistics
260			_aCham : _bSpringer, _c2017
300			_axviii, 976 p. : _bill. : _c25.4 cm.
365			_aEURO _b84.99
440			_aSpringer texts in statistics
504			_aIncludes bibliographical references and index.
520			_aThis textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course. The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping . Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities. Unique approach that includes novel topics for introductory courses including bootstrapping, Walsh averages, and jackknifing Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software Designed for use inside and outside statistics departments Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors Douglas A. Wolfe, Ph.D., is a Professor Emeritus in the Department of Statistics at The Ohio State Universit y. Much of his current research is in ranked set sampling. He is also the author of a popular textbook on nonparametric statistics. Grant Schneider, Ph.D., is a Data Scientist at Upstart Network in the San Francisco Bay area. Grant created the accompanying R package and is experienced with statistical programming for research and in the classroom. He received his Ph.D. in Statistics from The Ohio State University.
650			_aMathematical statistics
650			_aStatistics
650			_aStatistical theory and methods
650			_aSocial science
650			_aProbability
650			_aStatistics for engineering
650			_aStatistics for Physics
650			_aStatistics for Chemistry
650			_aStatistics for Computer science
650			_aStatistics for Earth sciences
700			_aSchneider, Grant
942			_2ddc _cBK