The z-score defined
A z-score indicates how far a raw score lies from the arithmetic mean of a normally distributed set of scores. It expresses this distance in standard‑deviation units. Thus, a z-score of 1.0 means the score is one standard deviation above the mean, while a z-score of –1.0 means it is one standard deviation below the mean.
z-scores are typically plotted along the x‑axis of a normal distribution—the familiar bell‑shaped curve.
CALCULATE z-scores by using the calculator at the bottom of this page.
Here's an image of the normal curve with z-scores below the curve.
In APA style, z-scores are reported in lowercase italics. The uppercase Z refers to a different statistic.
A z-score is calculated by subtracting the mean (M) from the raw score (X) and dividing the result by the standard deviation (SD):
z = (X - M) / SD
Example:
If a test score is 60, the mean is 50, and the standard deviation is 10, then:
[ 60 - 50 = 10 ]
[ 10 / 10 = 1.0 ]
The z-score is 1.0, meaning the score is one standard deviation above the mean.
Most z-scores fall between –3.0 and +3.0, although scores beyond this range are possible.
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z-score calculator
Enter raw scores separated by commas (e.g., 60, 50, 55, 65):
Results
Mean: -
Standard Deviation: -
z-scores
| Raw score (X) | z-score |
|---|

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