Written & reviewed by Dackohn; last reviewed October 2026.

To calculate a z-score, subtract the mean from your value and divide by the standard deviation: z = (x − μ) / σ. The z-score says how many standard deviations a value sits from the mean — positive above, negative below. Example: x = 85, μ = 70, σ = 10 gives z = (85−70)/10 = 1.5. Use the population mean and SD; with only a small-sample estimate, the t-distribution is more appropriate.

The formula

z = (x − μ) / σ — value minus mean, divided by standard deviation.

Step by step

  1. Write down your value x, the mean μ, and the standard deviation σ.
  2. Subtract the mean from the value: x − μ.
  3. Divide by the standard deviation.
  4. The sign gives direction; the size gives how extreme.

Worked example

A test has μ = 70 and σ = 10. A score of 85 gives z = (85−70)/10 = 1.5. A score of 55 gives z = −1.5.

Turning a z-score into a percentile

Look it up in a z-table or use the normal distribution calculator. z = 1.5 is about the 93rd percentile. Roughly 68% of values have |z| < 1 and 95% have |z| < 2.

In Excel or Google Sheets

=STANDARDIZE(85,70,10) returns 1.5.

Common mistakes

Do it instantly: the z-score calculator gives the z-score and its percentile in one step.

Related

Z-Score CalculatorZ-TableNormal Distribution