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http://worldcat.org/entity/work/id/1044123750

Just plain data analysis finding, presenting, and interpreting social science data

Just Plain Data Analysis is designed to teach students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.

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http://schema.org/description

  • "Synopsis: Just Plain Data Analysis teaches students statistical literacy skills used to evaluate and construct arguments about public affairs grounded in numerical evidence. These practical skills involve finding, presenting, and interpreting commonly used social indicators, the quantitative measures of the performance of societies' institutions. These are skills and expertise that are not often covered in qualitative or quantitative research methods and statistics texts and courses but that are directly applicable to students' subsequent coursework and in a wide variety of future careers."
  • "Just Plain Data Analysis is designed to teach students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way."@en

http://schema.org/genre

  • "Statistics"@en
  • "Statistics"
  • "Electronic books"@en

http://schema.org/name

  • "Just plain data analysis finding, presenting, and interpreting social science data"@en
  • "Just plain data analysis finding, presenting, and interpreting social science data"
  • "Just Plain Data Analysis : Finding, Presenting, and Interpreting Social Science Data"@en
  • "Just plain data analysis : finding, presenting, and interpreting social science data"