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: Fitting Lines to Data
  name:
    name part: Villiger, Maggie
    role:
      role term: director.
  name:
    name part: Villiger, Maggie
    role:
      role term: producer.
  type of resource: moving image
  genre: videorecording
  genre: Instructional.
  origin info:
    place:
      place term: xx
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (11 minutes).
  abstract: Winter snowpack in the Colorado Rockies can predict spring water supply. Plotting annual measurements in a scatterplot lets resource managers draw a regression line that helps them forecast water availability. About this Series: The new Against All Odds is intended as a one-year introduction to statistics. Made up of vivid real-world examples, our goal is to present statistics in the context of its contemporary use. Host Dr. Pardis Sabeti guides viewers through the wide range of statistical applications used by scientists, business owners, and even Shakespeare scholars, in their work and daily lives. Starting with descriptive statistics, the series continues through probability and inference. Each unit builds on preceding ones to expand students' statistical knowledge and solidify their understanding of how the concepts fit together. Statistical case studies range from finding patterns in lightning strikes, to linking DDT to the decline of peregrine falcons, to analyzing salaries to lobby for comparable pay for men and women. Against All Odds takes you inside statistics!
  target audience: adult
  note: Title from resource description page (viewed September 17, 2021).
  note: In English.
  subject:
    topic: Curriculum
  related item:
    title info:
      title: Against all odds: Inside Statistics ; Unit 11
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: VJA
    record creation date: 210917
    record change date: 20241201234846.3
    record identifier: in00005597562
    language of cataloging:
      language term: eng