Statistically significant consumer preference determinations are possible by Extension personnel in the field using available clientele and without complicated statistical analysis. Clientele such as shoppers at farmers' markets can provide ratings for sensory attributes such as look, feel, taste, or smell of a particular treatment. The statistical analysis used involves comparing the rank means of the raw rating data. This procedure factors out consumer variation. The example given uses SAS to complete the analysis.

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