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What Is a Z-Score and How Do You Calculate It?

A z-score converts any raw value into a standardized score that tells you exactly where that value falls relative to the mean of the distribution.

A z-score is the number of standard deviations a data point sits above or below the mean. Formula: z = (x - mu) / sigma. A z-score of 0 is exactly at the mean; +2 is two SDs above; -1 is one SD below.

The formula

z = (x - mu) / sigma

For sample data, substitute the sample mean (x-bar) and sample SD (s) in place of mu and sigma.

Worked example

A student scores 78 on a test where the class mean is 70 and the standard deviation is 8.

StepCalculationResult
Subtract mean78 - 708
Divide by SD8 / 8z = 1.0

A z-score of 1.0 means the student scored one standard deviation above the mean, placing them at approximately the 84th percentile in a normal distribution.

What different z-scores mean

Z-scorePercentile (normal dist.)Meaning
-2.0~2ndWell below average
-1.0~16thBelow average
0.050thExactly the mean
+1.0~84thAbove average
+2.0~98thWell above average
+2.5~99thHighly unusual

Z-score vs standard deviation: what is the difference?

Standard deviation is a property of the whole data set, measuring its overall spread. A z-score is a property of a single value within that data set, measuring how far that one point sits from the mean in units of SD. You need the standard deviation to compute any z-score, but they answer different questions: SD describes the distribution; z-score describes one observation within it. Use the standard deviation calculator to find your SD first, then divide to get z.

What does a z-score of 2.5 mean?

A z-score of 2.5 means the value sits 2.5 standard deviations above the mean. In a normal distribution, only about 0.6% of values lie above z = 2.5, making this an unusually high observation. Whether that is meaningful depends on context: in quality control it might flag a defect; in research it approaches statistical significance.

What is the 95% z-score?

The z-score that cuts off the top 5% of a normal distribution (leaving 95% below) is approximately 1.645. For a two-tailed 95% confidence interval, the critical value is 1.96, because 2.5% sits in each tail. The confidence interval article covers how this is applied in practice.

Find your percentile, not just your z

Enter a value, mean, and SD into the z-score calculator and it returns the z-score alongside the percentile it corresponds to on the normal curve.

Related reading

Good to know

FAQs

What does a 2.5 z-score mean?

A z-score of 2.5 means the value is 2.5 standard deviations above the mean. In a normal distribution, roughly 99.4% of values fall below this point, so a score this high is quite unusual (about 1 in 160 observations).

What is a 95% z-score?

For a one-tailed test, the z-score that marks the top 5% is about 1.645. For a two-tailed 95% confidence interval, the critical value is 1.96, because 2.5% is excluded from each tail of the distribution.

What is the difference between z-score and standard deviation?

Standard deviation measures how spread out an entire data set is. A z-score uses that SD to express where one particular value falls: z = (x - mean) / SD. SD is a characteristic of the distribution; z-score is a characteristic of a single data point within it.

How do I calculate my z-score?

Subtract the mean from your value, then divide by the standard deviation: z = (x - mean) / SD. For example, if your score is 85, the mean is 75, and the SD is 10, then z = (85 - 75) / 10 = 1.0. You are one SD above the mean.