WINETASTER ON 12/04/18 WITH 8 JUDGES AND 5 WINES BASED ON RANKS, IDENT=N
Copyright (c) 1995-2018 Richard E. Quandt, V. 1.65
FLIGHT 1:
Number of Judges = 8
Number of Wines = 5
Identification of the Wine: The judges' overall ranking:
Wine A is Marimar 1993 ........ 5th place
Wine B is Marimar 1994 ........ 4th place
Wine C is Marimar 1995 tied for 1st place
Wine D is Marimar 1997 ........ 3rd place
Wine E is Marimar 1998 tied for 1st place
The Judges's Rankings
Judge Wine -> A B C D E
Burt 5. 3. 1. 2. 4.
Ed 4. 3. 5. 1. 2.
Zaki 1. 5. 2. 3. 4.
Orley 5. 3. 2. 4. 1.
Larry 4. 5. 1. 3. 2.
Bob 5. 4. 1. 3. 2.
Mike 4. 1. 3. 5. 2.
Dick 5. 2. 3. 4. 1.
Table of Votes Against
Wine -> A B C D E
Group Ranking -> 5 4 1 3 1
Votes Against -> 33 26 18 25 18
( 8 is the best possible, 40 is the worst)
Here is a measure of the correlation in the preferences of the judges which
ranges between 1.0 (perfect correlation) and 0.0 (no correlation):
W = 0.2469
The probability that random chance could be responsible for this correlation
is quite small, 0.0953. Most analysts would say that unless this
probability is less than 0.1, the judges' preferences are not strongly
related.
We now analyze how each taster's preferences are correlated with the group
preference. A correlation of 1.0 means that the taster's preferences are a
perfect predictor of the group's preferences. A 0.0 means no correlation,
while a -1.0 means that the taster has the reverse ranking of the group.
This is measured by the correlation R.
Correlation Between the Ranks of
Each Person With the Average Ranking of Others
Name of Person Correlation R
Bob 0.8721
Orley 0.8000
Larry 0.6000
Dick 0.5000
Burt 0.3591
Mike 0.1000
Ed -0.3000
Zaki -0.5000
The wines were preferred by the judges in the following order. When the
preferences of the judges are strong enough to permit meaningful differentiation
among the wines, they are separated by -------------------- and are judged to be
significantly different.
1. tied for 1st place Wine C is Marimar 1995
2. tied for 1st place Wine E is Marimar 1998
3. ........ 3rd place Wine D is Marimar 1997
4. ........ 4th place Wine B is Marimar 1994
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5. ........ 5th place Wine A is Marimar 1993
We now test whether the ranksums AS A WHOLE provide a significant ordering.
The Friedman Chi-square value is 7.9000. The probability that this could
happen by chance is 0.0953
We now undertake a more detailed examination of the pair-wise rank correla-
tions that exist between pairs of judges. First, we present a table in which you
can find the correlation for any pair of judges, by finding one of the names in the
left hand margin and the other name on top of a column. A second table arranges
these correlations in descending order and marks which is significantly positive
significantly negative, or not significant. This may allow you to find clusters
of judges whose rankings were particularly similar or particularly dissimilar.
Pairwise Rank Correlations
Correlations must exceed in absolute value 1.00 for significance at the 0.05
level and must exceed 0.90 for significance at the 0.1 level
Burt Ed Zaki
Burt 1.000 -0.100 -0.100
Ed -0.100 1.000 -0.500
Zaki -0.100 -0.500 1.000
Orley 0.300 0.000 -0.500
Larry 0.500 -0.200 0.300
Bob 0.700 -0.100 -0.100
Mike -0.100 -0.200 -0.700
Dick 0.100 0.200 -0.800
Orley Larry Bob
Burt 0.300 0.500 0.700
Ed 0.000 -0.200 -0.100
Zaki -0.500 0.300 -0.100
Orley 1.000 0.600 0.800
Larry 0.600 1.000 0.900
Bob 0.800 0.900 1.000
Mike 0.600 -0.200 0.100
Dick 0.900 0.200 0.500
Mike Dick
Burt -0.100 0.100
Ed -0.200 0.200
Zaki -0.700 -0.800
Orley 0.600 0.900
Larry -0.200 0.200
Bob 0.100 0.500
Mike 1.000 0.800
Dick 0.800 1.000
Pairwise correlations in descending order
0.900 Orley and Dick Significantly positive
0.900 Larry and Bob Significantly positive
0.800 Orley and Bob Not significant
0.800 Mike and Dick Not significant
0.700 Burt and Bob Not significant
0.600 Orley and Larry Not significant
0.600 Orley and Mike Not significant
0.500 Burt and Larry Not significant
0.500 Bob and Dick Not significant
0.300 Burt and Orley Not significant
0.300 Zaki and Larry Not significant
0.200 Larry and Dick Not significant
0.200 Ed and Dick Not significant
0.100 Burt and Dick Not significant
0.100 Bob and Mike Not significant
0.000 Ed and Orley Not significant
-0.100 Burt and Zaki Not significant
-0.100 Burt and Ed Not significant
-0.100 Zaki and Bob Not significant
-0.100 Ed and Bob Not significant
-0.100 Burt and Mike Not significant
-0.200 Ed and Larry Not significant
-0.200 Larry and Mike Not significant
-0.200 Ed and Mike Not significant
-0.500 Ed and Zaki Not significant
-0.500 Zaki and Orley Not significant
-0.700 Zaki and Mike Not significant
-0.800 Zaki and Dick Not significant
COMMENT:
All the wines we taste today come from the Russian River Valley in Sonoma, California, and are from
the Marimar Estate. The proprietor and founder, Marimar Torres, has made wines in Sonoma for several
decades, and today we taste some examples of chardonnay (2008 and perhaps 2000) and pinot noir with bottle
age (1993-1997) The Estate is located north of Sebastopol in Green Valley (the wines are entitled to
this appellation, as well as the Russian River and Sonoma Coast appellations). Marimar is one of the
first in what is now a distinguished group of women making wines in California. Many of the Marimar
Estate staff are women also—and with any luck Marimar’s daughter, Cristina (Princeton ’05), will continue
that tradition.
These 25 year old wines were all excellent, and an extremely pleasant surprise. The only pinot noir wines
expected to age so well, it was suggested by one person, are those from the DRC. Indeed, one person
suggested it would be fascinating to compare them in a blind tasting. It was noted that it was a strictly
European style wine with low yields and greater concentration of flavors. There was a fairly surprising degree of
agreement within the group. But the two wines that were least liked were the two oldest.
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