It is a test of significance appropriate when the data represent an ordinal or nominal scale, when a parametric assumption has been greatly violated or when the nature of the distribution is not known. A. Inferential Statistics C. Parameters E. Population B. Non-Parametric Test D. Parametric Test F. Sample

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15 . It is a test of significance appropriate when the data represent an ordinal or
nominal scale, when a parametric assumption has been greatly violated or when
the nature of the distribution is not known.

A. Inferential Statistics C. Parameters E. Population
B. Non-Parametric Test D. Parametric Test F. Sample

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