Z-scores are crucial for comparing data accurately.
Z-scores are essential for comparing data that are scaled differently by standardizing them into a common format. They are used to compare statistics from different datasets accurately. For example, in standardized tests, a higher z-score indicates better performance compared to a lower z-score.
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