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The Probable Consequences of Violating the Normality Assumption in Parametric Statistical Analysis

Raymond Hubbard
Area
Vol. 10, No. 5 (1978), pp. 393-398
Stable URL: http://www.jstor.org/stable/20001404
Page Count: 6
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
The Probable Consequences of Violating the Normality Assumption in Parametric Statistical Analysis
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Abstract

Confronted with non-normally distributed data, many geographers prefer to adopt nonparametric methods when analyzing the results of their research. The present paper argues that, provided the departures from normality are not severe, conventional parametric statistical models may still be frequently utilized.

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