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The Probable Consequences of Violating the Normality Assumption in Parametric Statistical Analysis
Vol. 10, No. 5 (1978), pp. 393-398
Stable URL: http://www.jstor.org/stable/20001404
Page Count: 6
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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.