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Z-Score Calculator

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Result

z = 2.6

78 is 2.6 standard deviations above the mean, at the 99.53rd percentile of a normal distribution.

P(X < 78)
0.9953
P(X > 78)
0.0047
Two-tailed P(|Z| ≥ 2.6)
0.0093

Standard normal curve

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Standard normal densityarea above axisbelow axis

z = (x − μ) ÷ σ. About 68% of a normal distribution lies within 1 standard deviation of the mean, 95% within 1.96 and 99.7% within 3. Percentiles assume the data are roughly normal; for skewed data, rank the actual values instead.

Standardize a value against a normal distribution: its z-score, the percentile it falls at and its one- and two-tailed probabilities. The calculator also finds the probability between two values and the value at any percentile.

Formula

z=(x−μ)/σ\text{z} = (\text{x} - \mu ) / \sigma
percentile=Φ(z)×100\text{percentile} = \Phi (\text{z}) \times 100

Worked Example

Value x78
Mean μ65
Standard deviation σ5
Result
z2.6
Percentile99.53rd
P(X > 78)0.0047

78 sits (78 − 65) ÷ 5 = 2.6 standard deviations above the mean. Φ(2.6) = 0.9953, so 99.53% of a normal distribution lies below it and fewer than 1 in 200 values are higher.

Frequently Asked Questions

What z-score is considered unusual?

In many contexts, absolute z-scores above 2 are uncommon and above 3 are rare under normal assumptions.

Can z-score be negative?

Yes. Negative values indicate observations below the mean.