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Statistical Methods for the Social Sciences, Global Edition - Alan Agresti - Bog

Bag om Statistical Methods for the Social Sciences, Global Edition

For courses in Statistical Methods for the Social Sciences.Statistical methods applied to social sciences, made accessible to all through an emphasis on conceptsStatistical Methods for the Social Sciencesintroduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 6th Edition uses examples and exercises with a variety of real data. It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematicsoften a stumbling block for studentswhile avoiding reliance on an overly simplistic recipe-based approach to statistics.

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  • Sprog:
  • Ukendt
  • ISBN:
  • 9781292449197
  • Indbinding:
  • Paperback
  • Sideantal:
  • 608
  • Udgivet:
  • 15. februar 2024
  • Størrelse:
  • 255x25x204 mm.
  • Vægt:
  • 1112 g.
  • Ukendt - mangler pt..

Normalpris

  • BLACK WEEK

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Statistical Methods for the Social Sciences, Global Edition

For courses in Statistical Methods for the Social Sciences.Statistical methods applied to social sciences, made accessible to all through an emphasis on conceptsStatistical Methods for the Social Sciencesintroduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 6th Edition uses examples and exercises with a variety of real data. It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematicsoften a stumbling block for studentswhile avoiding reliance on an overly simplistic recipe-based approach to statistics.

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