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Statistical Methods for the Social Sciences, Global Edition

Fifth Edition

Parametry

  • 568 stránek
  • 20 hodin čtení

Více o knize

For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces 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 5th 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 mathematics--often a stumbling block for students--while avoiding reliance on an overly simplistic recipe-based approach to statistics.

Nákup knihy

Statistical Methods for the Social Sciences, Global Edition, Alan Agresti, Barbara Finlay

Jazyk
Rok vydání
2018
Vazba
(měkká)
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Titul
Statistical Methods for the Social Sciences, Global Edition
Podtitul
Fifth Edition
Jazyk
anglicky
Vydavatel
Pearson
Rok vydání
2018
Vazba
měkká
Počet stran
568
ISBN10
1292220317
ISBN13
9781292220314
Série
Anotace
For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces 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 5th 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 mathematics--often a stumbling block for students--while avoiding reliance on an overly simplistic recipe-based approach to statistics.