metal wine racks

· The authors investigated the agreement between the “cut average” wine scores (X variable) and the
individual judge scores (Y variable) using 4 statistical methods:
1) Test of dependence: through this test, the authors can see whether there exists a significant difference
between X and Y for each wine.
2) Test of contingency: this measures the strength of the agreement (dependence) between X and Y. As the
dependence value increases, so does the value of the professional experts’ opinions.
3) Test of symmetry: this measures whether the individual scores are smaller or larger than the wine score.
That is, whether a particular judge underestimates, overestimates, or is symmetrical with the overall
opinion, X.
4) X-Y chart: finally, by using a specific chart to visualize both the official evaluations and the individual
ones, the authors are able to monitor the performance of each wine taster.
(Don’t worry if, like me, you don’t understand these tests; you don’t need to do so to understand the final
results.)
· Results. 1) In general, all 35 tasters in the seven panels evaluated the assigned wines in good accordance
with the official cut average of the wines. 2) However, only 16 tasters evaluated the wines symmetrically,
that is, 19 tasters underestimated or overestimated the average scores given the wines. 3) Finally, using the
above tests, the authors were able to rank judges for their performance (in the original paper the authors
present score charts for the two best and the two worst performers).
The authors present a method that, by monitoring taster performance, can help official wine contests by
improving the selection of objective professional tasters. The authors admit that these tests should be
applied in an anonymous manner if the reputation of many a judge is to be preserved!

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