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Z-Score Calculator

Enter a raw score, the mean and the standard deviation to get the z-score and the share of a normal distribution below and above it. The reverse tab turns a z-score back into a raw score. The working is shown with your numbers.

Free, no signupNo daily limitRuns in your browser - nothing you enter is uploadedUpdated

z-score
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-Below (percentile)
-Above
Standard normal curve; the shaded area is the share below your value.

Worked example: one test score

A student scores 85 on a test where the class mean is 70 and the standard deviation is 10.

z = (x − μ) ÷ σ = (85 − 70) ÷ 10 = 1.5 area below z = 1.5 ≈ 0.9332 → about the 93rd percentile reverse: x = μ + z × σ = 70 + 1.5 × 10 = 85

If the scores are roughly bell-shaped, this student did better than about 93% of the class. A z of 0 is exactly average; −1 is one standard deviation below.

Reading z-scores

zShare belowMeaning
−22.3%Unusually low
−115.9%Below average
050%Exactly average
184.1%Above average
1.9697.5%Edge of the middle 95%
297.7%Unusually high

About 68% of a normal distribution lies within one standard deviation of the mean, 95% within two and 99.7% within three. Z-scores let you compare results on different scales - a z of 1.2 in maths and 0.8 in English means the maths result was further above that class's average.

What this calculator does not do

  • Percentiles assume a normal distribution.
  • The normal-curve area uses an approximation accurate to about seven decimal places, more than printed z-tables give.
  • It does not compute t-scores or p-values for hypothesis tests.

Frequently asked questions

What is a z-score?
A z-score says how many standard deviations a value is above or below the mean. z = (x − mean) ÷ standard deviation. A score of 85 in a test with mean 70 and standard deviation 10 has z = 1.5.
How do I turn a z-score into a percentile?
Find the area under the standard normal curve to the left of z. For z = 1.5 that area is about 0.9332, so the value is higher than about 93.3% of a normally distributed group. This calculator works out the area for you.
Can a z-score be negative?
Yes. A negative z-score means the value is below the mean; z = −1 is one standard deviation below.
How do I get the raw score from a z-score?
x = mean + z × standard deviation. With mean 70, standard deviation 10 and z = 1.5, x = 70 + 15 = 85.
Is the percentile accurate for my data?
Only if your data is roughly normally distributed. For skewed data the z-score is still correct, but the percentile from the normal curve will not match the real share of your data.