Z-Score Calculator
Calculate a z-score from a raw value, mean and standard deviation. The result shows standardized distance from the mean and an approximate cumulative percentile when the standard normal distribution is an appropriate model.
The z-score itself is a standardized distance. The displayed percentile interprets that score using a standard normal distribution.
How to use the Z-Score Calculator
- Enter the raw observed value.
- Enter the mean of the reference distribution.
- Enter a positive standard deviation.
- The mean is subtracted from the raw value and the difference is divided by the standard deviation.
- A standard-normal cumulative distribution approximation provides the optional percentile interpretation.
Examples
One standard deviation above
For x=80, mean=70 and standard deviation=10, z=1.
Below the mean
A negative z-score means the raw value lies below the supplied mean.
At the mean
When the raw value equals the mean, z=0.
Frequently asked questions
What does a z-score measure?
It expresses the signed distance between a value and the mean in standard-deviation units.
Can standard deviation be zero?
No. The z-score formula divides by standard deviation, so it must be greater than zero.
Does a z-score require normal data?
The standardized z-score itself does not require normality, but interpreting it as a normal-distribution percentile assumes an appropriate normal model.
What does z=0 mean?
It means the observation is exactly equal to the supplied mean.
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