Table explanation

Judging statistics
In this table we measure how consistent the judging is. For this we use the standard deviation which is often used within statistics to measure random variations. In our case it measures how far away the judges scores on average is from their joint mean value. Incomprehensible? Let us take an example: Suppose that three judges have given the scores 3.0, 2.0 and 2.5 for skating skills. This gives the average score 2.5. To measure average devation from this, we add the squares of the deviations. This way, all devations become positive, and we avoid that positive and negative deviations annihilate each other. The sum of the deviations become 0.50.5 + (-0.5)(-0.5) + 0.00.0 = 0.50, and the average deviation becomes 0.50/3 = 0.167. The standard deviation is found by taking the square root of this value. In our case, we get 0.41. For program component scores, table values kan be interpreted as: 0.000 - 0.250 : Very consistent judging 0.250 - 0.375 : Consistent judging 0.375 - 0.500 : Inconsistent judging 0.500 - 1.000 : Very inconsistent judging Values above 1.0 are very rare and are probably due to erroneous input. We do not assign a similar quality interpretation for standard deviations of elements. Note that table values are calculated using all* judges scores, also those that have been removed in the calculation of official program component scores. Such removals are common in international competitions. Please note that the table does not state which judge has the better juding. The majority is not always right!

Judging statistics

In this table we measure how consistent the judging is. For this we use the standard deviation which is often used within statistics to measure random variations. In our case it measures how far away the judges scores on average is from their joint mean value.

Incomprehensible?

Let us take an example:
Suppose that three judges have given the scores 3.0, 2.0 and 2.5 for skating skills. This gives the average score 2.5. To measure average devation from this, we add the squares of the deviations. This way, all devations become positive, and we avoid that positive and negative deviations annihilate each other. The sum of the deviations become 0.5*0.5 + (-0.5)*(-0.5) + 0.0*0.0 = 0.50, and the average deviation becomes 0.50/3 = 0.167. The standard deviation is found by taking the square root of this value. In our case, we get 0.41.

For program component scores, table values kan be interpreted as:

   0.000 - 0.250 : Very consistent judging
   0.250 - 0.375 : Consistent judging
   0.375 - 0.500 : Inconsistent judging
   0.500 - 1.000 : Very inconsistent judging

Values above 1.0 are very rare and are probably due to erroneous input.

We do not assign a similar quality interpretation for standard deviations of elements.

Note that table values are calculated using all judges scores, also those that have been removed in the calculation of official program component scores. Such removals are common in international competitions.

Please note that the table does not state which judge has the better juding. The majority is not always right!

Back