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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
- Private in your browser
- No signup
Calculator inputs
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How to use this calculator
- Enter the known values in the units shown. Results update as you type.
- Where results are editable, change one to solve backwards. Lock a value to hold it fixed.
- 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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