The z-scores allows two unlike distributions to be compared in a standard manner. As an example, one distribution with mean 100 and variance 10 is difficult to compare to another distribution with mean -0.5 and variance .2. Using a z-score, however, these two distributions become standardized in a manner that can be easily compared to one another.
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