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Z-Score Calculator

Enter a raw score with the mean and standard deviation of its distribution. The calculator standardises it and looks up the matching areas under the normal curve.

Result

Z-score
1.5
Percentile
93.32%
P(X < x), area to the left
0.933193
P(X > x), area to the right
0.066807
Two-tailed p-value
0.133614
P(within |z| of the mean)
0.866386
Distance from the mean
15

Probabilities assume the values follow a normal distribution.

Formula

  • z = (x − μ) ÷ σ
  • Percentile = Φ(z) × 100, where Φ is the standard normal cumulative distribution
  • x = μ + z × σ

How the Z-Score Calculator works

A z-score says how many standard deviations a value lies above or below the mean. A z of 0 is exactly average, positive values are above average and negative values are below.

Standardising lets you compare scores from different scales and read probabilities from one table. In a normal distribution about 68 percent of values have a z between −1 and 1, about 95 percent between −2 and 2, and about 99.7 percent between −3 and 3.

Worked example

A score of 85 on a test with mean 70 and standard deviation 10: z = (85 − 70) ÷ 10 = 1.5. That is the 93.32nd percentile, so about 6.68 percent of scores are higher.

Frequently asked questions

What is a good z-score?

It depends on context. A z of 0 is average. Values beyond about ±2 are unusual, occurring roughly 5 percent of the time, and values beyond ±3 are rare.

What z-score corresponds to 95 percent confidence?

1.96. The middle 95 percent of a normal distribution lies within 1.96 standard deviations of the mean. For 90 percent it is 1.645 and for 99 percent it is 2.576.

How do I convert a z-score to a percentile?

Look up the cumulative probability for that z and multiply by 100. A z of 1.0 is the 84.13th percentile.

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