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Z-Score Calculator

Calculate the z-score from a value, or find the value from a z-score. Includes percentile and probability. See also Standard Deviation Calculator and Percentile Calculator.

How to Calculate Z-Score

A z-score (standard score) tells you how many standard deviations a value is from the mean. A positive z-score means the value is above the mean; a negative z-score means it is below. Z-scores are used to compare values from different distributions and to find percentiles in a normal distribution.

Z-Score Formulas

Find Z-Score: z = (x − μ) / σ

Find Value: x = μ + z × σ

Where: x = value, μ = mean, σ = standard deviation

Example Calculation

A student scores 85 on a test with mean 75 and std dev 10.

z = (85 − 75) / 10 = 10 / 10 = 1.0

Percentile ≈ 84.13% (the student scored better than ~84% of students)

Z-Score Reference Table

Z-ScoreArea (Left)Percentile
-3.00.00130.13%
-2.50.00620.62%
-2.00.02282.28%
-1.50.06686.68%
-1.00.158715.87%
-0.50.308530.85%
0.00.500050.00%
0.50.691569.15%
1.00.841384.13%
1.50.933293.32%
2.00.977297.72%
2.50.993899.38%
3.00.998799.87%

Frequently Asked Questions

What does a z-score of 0 mean?

A z-score of 0 means the value is exactly equal to the mean. It is at the 50th percentile.

What is a "good" z-score?

It depends on context. In testing, a z-score of 1.0 or higher means above average. In quality control, values within ±2 standard deviations (z between −2 and 2) are typically considered normal.

Can z-scores be negative?

Yes. A negative z-score means the value is below the mean. For example, z = −1.5 means the value is 1.5 standard deviations below the mean.

What is the empirical rule (68-95-99.7)?

In a normal distribution, about 68% of values fall within ±1 standard deviation, 95% within ±2, and 99.7% within ±3 standard deviations of the mean.

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