LEADER 04722nam 22006135 450 001 9910254286803321 005 20250504233611.0 010 $a3-319-56072-7 024 7 $a10.1007/978-3-319-56072-4 035 $a(CKB)4100000000881608 035 $a(DE-He213)978-3-319-56072-4 035 $a(MiAaPQ)EBC6310528 035 $a(MiAaPQ)EBC5595415 035 $a(Au-PeEL)EBL5595415 035 $a(OCoLC)1007152903 035 $a(PPN)220125309 035 $a(EXLCZ)994100000000881608 100 $a20171009d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntuitive Introductory Statistics /$fby Douglas A. Wolfe, Grant Schneider 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVIII, 976 p. 120 illus., 86 illus. in color.) 225 1 $aSpringer Texts in Statistics,$x2197-4136 311 08$a3-319-56070-0 327 $aExploratory Data Analysis -- Exploring Bivariate Data and Categorical Data -- Designing a Survey or Experiment -- Understanding Random Events -- Sampling Distributions and Approximations -- Statistical Inference -- Appendices. Full TOC attached. 330 $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, PhD, 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, PhD, 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 PhD in Statistics from The Ohio State University. 410 0$aSpringer Texts in Statistics,$x2197-4136 606 $aStatistics 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aStatistics. 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a519.5 700 $aWolfe$b Douglas A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0613525 702 $aSchneider$b Grant$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254286803321 996 $aIntuitive Introductory Statistics$92039119 997 $aUNINA