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: Statistics is easy!
  title info:
    title: Synthesis digital library of engineering and computer science
  name:
    name part: Shasha, Dennis Elliott.
    role:
      role term: creator
  name:
    name part: Wilson, Manda.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2011
    edition: 2nd ed.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xii, 162 pages : illustrations)
  abstract: Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then systematically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers.
  table of contents: 1. The basic idea.
  table of contents: 2. Pragmatic considerations when using resampling.
  table of contents: 3. Terminology.
  table of contents: 4. The essential stats -- 4.1. Mean -- Why and when -- Calculate -- Example -- Pseudocode & code -- 4.2. Difference between two means -- Why and when -- Calculate -- Example -- Pseudocode & code -- 4.3. Chi-squared -- Why and when -- Calculate with example -- Pseudocode & code -- Calculate with example for multiple variables -- Pseudocode & code -- 4.4. Fisher's exact test -- Why and when -- Calculate with example -- Pseudocode & code -- 4.5. One-way ANOVA -- Why and when -- Calculate with example -- Statistics is easy -- Pseudocode & code -- 4.6. Multi-way ANOVA -- Why and when -- Calculate with example -- Pseudocode & code -- 4.7. Linear regression -- Why and when -- Calculate with example -- Pseudocode & code -- 4.8. Linear correlation -- Why and when -- Calculate & example -- Pseudocode & code -- 4.9. Multiple regression -- 4.10. Multiple testing -- Why and when -- Family wise error rate -- False discovery rate.
  table of contents: 5. Case study: New Mexico's 2004 presidential ballots -- 5.1. Take a close look at the data -- What questions do we want to ask -- How do we attempt to answer this question -- Next: effect of ethnicity for each machine type -- We have used the following techniques -- What did we find out?
  table of contents: References -- Bias corrected confidence intervals -- Appendix B.
  target audience: specialized
  note: Dennis Shasha, Manda Wilson.
  note: Electronic resource.
  note: Part of: Synthesis digital library of engineering and computer science.
  note: Series from website.
  note: Title from PDF title page (viewed Oct. 13, 2010).
  note: Compendex
  note: Google book search
  note: Google scholar
  note: INSPEC
  note: Includes bibliographical references (pages 75-76).
  subject:
    topic: Nonparametric statistics
  subject:
    topic: Resampling (Statistics)
  classification: QA278.8 .S527 2011
  classification: 519.5
  related item:
    note: Compendex
  related item:
    note: Google book search
  related item:
    note: Google scholar
  related item:
    note: INSPEC
  related item:
    title info:
      title: Statistics is easy!
    name:
      name part: Shasha, Dennis Elliott.
    origin info:
      publisher: [San Rafael, Calif.] : Morgan & Claypool, 2010
  related item:
    title info:
      title: Synthesis lectures on mathematics and statistics ; #8
  identifier: 1608455718 (electronic bk.)
  identifier: 9781608455713 (electronic bk.)
  identifier: 160845570X (pbk.)
  identifier: 9781608455706 (pbk.)
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://dx.doi.org//10.2200/S00295ED1V01Y201009MAS008
  record info:
    record content source: OTZ
    record creation date: 101013
    record change date: 20210727155658.0
    record identifier: in00002692754
    language of cataloging:
      language term: eng