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Guidelines for Assessing Enological and Statistical Significance of Wine Tasters' Binary Judgments

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Submitted:

29 October 2017

Posted:

01 November 2017

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Abstract
The purpose of this article is to assess the reliability and accuracy (validity) of hypothetical binary tasting judgments in an enological framework. The heuristic model that is utilized allows for the control of a wide array of variables that would be exceedingly difficult to fully control in the typical enological investigation. It is shown that results that are judged to be enologically significant are uniformly judged to be statistically significant as well, whether the level of wine Taster agreement is set at 70% (Fair); 80% (Good), or 90% (Excellent), However, in a number of instances, results that were statistically significant were not enologically significant by standards that are widely accepted and utilized. This finding is consistent with the bio-statistical fact that given a sufficiently large sample size, even the most trivial of results will prove to be statistically significant. Consistent with expectations, multiple patterns of 80% (Good) and 90% (Excellent) agreement tended to be both statistically and enologically significant.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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