Free online z-score and normal distribution calculator
A z-score measures how many standard deviations a value is above or below the mean. This calculator converts between raw scores, z-scores, and percentiles for any normal.
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How to use
- Select a mode — convert a raw value to a z-score, look up a z-score’s percentile, or find the z-score for a given percentile.
- Fill in the required fields.
- Click Calculate to see the full output.
Formulas
Raw value to z-score:
z = (x − μ) / σ
where x is the raw value, μ is the mean, σ is the standard deviation.
Cumulative probability (CDF):
P(Z ≤ z) = 0.5 × (1 + erf(z / √2))
Error function approximation (Hart):
erf(x) ≈ 1 − (a₁t + a₂t² + a₃t³) × exp(−x²)
where t = 1 / (1 + 0.47047|x|)
a₁ = 0.3480242, a₂ = −0.0958798, a₃ = 0.7478556
Two-tailed p-value:
p = 2 × min(P(Z ≤ z), 1 − P(Z ≤ z))
Worked example
A student scores 75 on a test with mean 70 and standard deviation 10:
z = (75 − 70) / 10 = 0.50
P(Z ≤ 0.50) ≈ 0.6915 → 69.15th percentile
two-tailed p = 2 × 0.3085 ≈ 0.617
Standard critical values:
z = 1.645 → 95th percentile (one-tailed 5%)
z = 1.960 → 97.5th percentile (two-tailed 5%)
z = 2.576 → 99.5th percentile (two-tailed 1%)
References
- Standard score (z-score)Wikipedia · en.wikipedia.org
- Normal distributionWikipedia · en.wikipedia.org
Frequently asked
What is a z-score?
How is the percentile calculated from a z-score?
What is a p-value?
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