Statistics

Z-Score Calculator

Convert any raw value into a standardised Z-score using the mean and standard deviation — with the corresponding percentile, probability, and a normal curve showing exactly where the value sits.

Formula
z = (x − μ) ÷ σ

Enter your values

The individual value you want to standardise Enter a valid value.
The mean of the population or large sample Enter a valid mean.
The standard deviation of the population Enter a valid SD (greater than 0).
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Ready to calculate

Enter your values on the left, then press Calculate.

Z-score
standard deviations from the mean
Percentile (P(X
P(X>x)
Position on normal curve
What this means

How it works

Understanding Z-Score

1

What a Z-score means

A Z-score expresses how many standard deviations a value is from the mean. A z of +1 means one SD above the mean (84th percentile in a normal distribution). A z of -2 means two SDs below (2.3rd percentile). It standardises any value to a comparable scale.

2

Why standardise

Z-scores let you compare values from completely different distributions on equal terms — for example, a candidate scoring 75 in one test and 80 in another. The Z-score tells you which performance was actually better relative to its peer group.

3

Six Sigma link

Six Sigma uses Z-scores directly: the Sigma Level is just the Z-score above which 99.99966% of process output falls. A 6σ process produces only 3.4 defects per million opportunities — that's z = 4.5 (long-term) or z = 6 (short-term).