It means that no one has to move for the distribution of two groups under study in a particular area to match the population distribution.
For example, if a county was 10% black and 90% white, you would get an index of dissimilarity of 0 if, in the smaller area under study (such as a Census block group), you found 10% of the smaller area was black and 90% was white.
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If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean. Z Score = (Raw Score - Mean Score) / Standard Deviation
Mean = 0 SD = 1 The whole point of converting to a Z-score is that you have a Standard Normal distribution ie a N(0, 1) distribution.
The z score for the mean is always 0.
1.41
score = 0; Put the code in a collision event.