Negative z-scores indicate raw scores that are below the mean and positive z-scores indicate raw scores which are above the mean. In other words, the raw score is zero standard deviations away from the mean and is therefore equal to the mean. This can be seen in the diagram below in which the position of the z-scores are labelled on the horizontal axis.Ī z-score of zero means that the raw score is identical to the mean. For example, a z-score of 2 means two standard deviations above the mean and a z-score of -1 means one standard deviation below the mean. Negative z-scores indicate a position below the mean. The z-score describes how many standard deviations a raw score is above the mean.
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