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Nonparametric Statistics for Applied Research

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781461490418
Veröffentl:
2013
Seiten:
408
Autor:
Jared A. Linebach
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

¿¿Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the  behavioral sciences and biomedicine.
¿Introduction.- Meeting the Team.- Questions, Assumptions, and Decisions.- Understanding Similarity.- The Bourgeoisie, the Proletariat, and an Unwelcomed Press Conference.- Agreeing to Disagree.- Guesstimating the Fluffy-Maker.- X Marks the Spot Revisited.- Let My People Go!.- Here's Your Sign and the Neighborhood Bowling League.- Geometry on Steroids.- Crunch Time.- Presentation.  ¿

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