Beginner

Z-Score Calculator

Convert a raw value into a z-score to see how far it sits from the mean in standard deviations.
Z-score
1.5000

Number of standard deviations the value lies from the mean.

Deviation (x − μ)
15
Z-score
1.5
Position
Above the mean
z = 1.5Where x falls on the normal curve — z = (x − μ) / σ
Step by step
  1. 1

    Deviation from the mean

    x − μ = 85 − 70 = 15
    The signed distance of the value from the centre of the distribution.
  2. 2

    Z-score

    (x − μ) ÷ σ = 15 ÷ 10 = 1.5000
Results are estimates for general information only and are not professional advice — always verify important results independently before relying on them. Read the full disclaimer.
Formula
z = (x − μ) / σ
How this is calculated

The calculator takes three numbers: x, the raw value (data point) you want to evaluate; μ (mu), the mean of the distribution; and σ (sigma), the standard deviation, which measures the typical spread of the data. All three must share the same unit of measurement, and the z-score itself is unitless because the units cancel.

First it computes the deviation, x − μ, which is the signed distance of your value from the centre of the distribution. It then divides that distance by σ, rescaling it into "number of standard deviations." So z = (x − μ) / σ. A positive z means x is above the mean, a negative z means below, and z = 0 means x equals the mean exactly.

The key assumption is that σ describes the spread of the same population x and μ come from. The formula is purely arithmetic and works for any data, but interpreting z against the familiar 68-95-99.7 percentages assumes a roughly normal (bell-shaped) distribution. The standard deviation must be greater than zero; if σ = 0 the division is undefined, so the calculator flags that case instead of returning a result.

About this calculator

A z-score, or standard score, tells you how many standard deviations a particular value lies above or below the mean of its distribution. A positive z-score means the value is above the mean; a negative one means it is below. A z-score of 0 indicates the value equals the mean exactly.

Standardizing data this way lets you compare values measured on different scales — for example, a test score and a height — by expressing each in common units of standard deviation. Z-scores are central to the normal distribution: about 68% of values fall within z = ±1, 95% within ±2, and 99.7% within ±3. The standard deviation must be greater than zero, otherwise the z-score is undefined.

Frequently asked questions

It tells you how far a value is from the mean, measured in standard deviations. A z-score of 2 means the value is two standard deviations above average.

Yes. A negative z-score simply means the value is below the mean. The sign indicates direction, and the magnitude indicates distance.

Values with z-scores beyond ±2 are often considered unusual, and beyond ±3 are rare, since roughly 99.7% of a normal distribution falls within three standard deviations of the mean.

Also known as

z score calculator
standard score
z score formula
standardize value
normal z score
calculate z score
z value
standardized score

APA

TG we-Calculate Editorial Team. (2026). Z-Score Calculator [Online calculator]. TG we-Calculate. https://we-calculate.com/calculator/z-score-calculator

Chicago

TG we-Calculate Editorial Team. "Z-Score Calculator." TG we-Calculate. 2026. https://we-calculate.com/calculator/z-score-calculator.

IEEE

TG we-Calculate Editorial Team, "Z-Score Calculator," TG we-Calculate, 2026. [Online]. Available: https://we-calculate.com/calculator/z-score-calculator

BibTeX

@misc{wecalculate_z_score_calculator, title = {Z-Score Calculator}, author = {{TG we-Calculate Editorial Team}}, howpublished = {\url{https://we-calculate.com/calculator/z-score-calculator}}, year = {2026}, note = {TG we-Calculate} }

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