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Raw Score & Z-Score Standardization

Convert between a raw value and its signed standard-deviation distance from a supplied mean.

  • Formula & worked example
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Calculator inputs

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How to use this calculator

  1. Enter the known values in the units shown. Results update as you type.
  2. Where results are editable, change one to solve backwards. Lock a value to hold it fixed.
  3. Use the worked example to check the method. Reset restores the starting fields.

Private by default

Inputs and results stay in this browser tab. Bookify does not upload or store the values you enter.

Formula and method

With mean 100 and standard deviation 15, a z-score of 2 corresponds to raw score 130.

Raw score = mean + standard deviation × z; z = (raw score − mean) / standard deviation

Worked example

Enter these known values and leave the other values blank.

Reference mean
100
Reference standard deviation, positive
15
Signed z-score
2
Raw score
130

Assumptions and limitations

  • Standard deviation must be positive. Mean, raw score and z-score may be signed or zero.
  • Standardization does not require a normal distribution, but translating z into a normal percentile would require an additional distributional assumption.
  • Mean and standard deviation use the same units as the raw score; z is dimensionless. With z = 0 and raw score equal to mean, standard deviation is not uniquely recoverable.

Common questions

What does a negative z-score mean?

The raw value is below the reference mean; its magnitude is the number of reference standard deviations below.

Does z = 2 always mean the same percentile?

No. A percentile depends on the distribution, which this standardization calculation does not determine.

References

Bookify requires positive standard deviation so the standardized score is defined.

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