Z-score Calculator

Enter a raw score, mean, and standard deviation to compute the Z-score and its cumulative probability P(Z < z) — or enter a Z-score directly to find the corresponding raw score.

How to use this calculator

  1. Enter the mean and standard deviation of your distribution.
  2. In 'Raw score → Z-score' mode: enter the raw score x to get z and its percentile.
  3. In 'Z-score → Raw score' mode: enter z to find the corresponding raw value.

Formula & method

Z-score formula and normal CDF

z = (x − μ) / σ · x = μ + z × σ · P(Z < z) computed from normal CDF

CDF computed via polynomial approximation (Abramowitz & Stegun). Accurate to ±5 × 10⁻⁴.

Example

x = 85, μ = 70, σ = 10: z = (85 − 70) / 10 = 1.5. P(Z < 1.5) ≈ 0.9332 → 93.3rd percentile.

Key insights

How to interpret your result

Percentile

P(Z < z) × 100 gives the percentile: z = 1.5 means your value exceeds 93.3% of the distribution.

Standardisation

Z-scores remove units and scale differences, allowing direct comparison across datasets with different means and SDs.

Frequently asked questions

What is a Z-score?
The number of standard deviations a value is from the mean: z = (x − μ) / σ. A Z-score of 2 means 2 SDs above the mean.
What is a good Z-score?
Context-dependent. In a hypothesis test, |z| > 1.96 is statistically significant at α = 0.05. In grading, z = 1.5 puts you in the top ~7%.
What is the 68-95-99.7 rule?
In a normal distribution: 68.3% of values fall within ±1 SD, 95.4% within ±2 SD, 99.7% within ±3 SD of the mean.

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