A NON-PARAMETRIC RANKING METHOD FOR THE STATISTICAL EVALUATION OF SENSORY DATA

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Abstract
Sensory data are rarely normally distributed and should, therefore, be statistically analyzed by non-parametric techniques. A computer program was devised for generating tabular data by which up to twenty samples can be compared following evaluation by as many as seventy-five panelists. When samples are initially ranked, rank sums for each sample may be compared to appropriate entries in the tables directly. If scalar values are assigned by panelists, the technique is still useful, but the values must first be converted to ranks.

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