rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intuitive Introductory Statistics
  name:
    name part: Wolfe, Douglas A.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Schneider, Grant.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 976 p. 120 illus., 86 illus. in color. online resource.
  abstract: This 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 a…
  table of contents: Exploratory 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.
  note: by Douglas A. Wolfe, Grant Schneider.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Texts in Statistics
  identifier: 9783319560724
  identifier: http://dx.doi.org/10.1007/978-3-319-56072-4
  record info:
    record creation date: 171009
    record change date: 20171009195906.0
    record identifier: 978-3-319-56072-4