What is a characteristic of z-scores?

Z-scores are a statistical measurement that indicate how many standard deviations an element is from the mean of a dataset. Specifically, they are standardized scores that have a mean of 0 and a standard deviation of 1. This means that a z-score of 0 corresponds to the mean of the dataset, while positive and negative z-scores indicate values above or below the mean, respectively.

By converting raw scores into z-scores, researchers and practitioners can easily compare scores from different datasets or different distributions since the z-scores are standardized. The characteristic of having a mean of 0 and a standard deviation of 1 is fundamental to the concept of z-scores and allows for a clearer understanding of the relative position of scores within a distribution.