Above average
x=85, mean=70, SD=10z = 1.5; percentile 93.3192769023%; above mean
Use this free z-score calculator to standardize a value from its mean and standard deviation, see how far it is from the mean, and estimate the left-tail percentile under a standard normal curve.

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z = (x - mean) / standard deviation.
Percentile uses the standard normal curve approximation.
Standardize a value using mean and standard deviation.
See how many standard deviations a value is above or below average.
Estimate a percentile under the standard normal curve.
Check whether a value is at the mean, above the mean, or below the mean.
Compare classroom, quiz, lab, or normal-distribution examples.
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z = 1.5; percentile 93.3192769023%; above mean
z = 0; percentile about 50%; at mean
z = -1.5; percentile 6.6807230977%; below mean
z = 2; percentile 97.7249937113%; above mean
z = -1; percentile 15.8655263832%; below mean
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Quick answers about formulas, inputs, examples, result copying, and private in-browser history.
A z-score tells how many standard deviations a value is from the mean. A z-score of 1.5 means the value is 1.5 standard deviations above the mean; -1.5 means it is 1.5 standard deviations below.
It uses z = (x - mean) / standard deviation. For x = 85, mean = 70, and standard deviation = 10, the calculation is (85 - 70) / 10 = 1.5.
Value x is the number you want to standardize, mean is the average you are comparing against, and standard deviation is the spread of the comparison group. Use the same unit and scale for all three numbers.
Start with the z-score, then read the distance label and percentile together. The percentile is the approximate standard-normal area to the left of that z-score, so z = 1.5 is around the 93.3192769023rd percentile.
Double-check that the mean and standard deviation come from the same population or sample as the value. Also check that the standard deviation is positive and that you are not mixing units, such as points with percentages.
A negative z-score means the value is below the mean. For example, x = 55, mean = 70, and standard deviation = 10 gives z = -1.5, which is about the 6.6807230977th percentile under the standard normal curve.
The percentile estimates the area to the left of the z-score on a standard normal curve. It is most useful when a normal-distribution model is reasonable for the situation.
No. A z-score standardizes one value against a mean and standard deviation. The percentile estimate assumes a standard normal curve, but the calculator does not test whether your real data is normal, representative, or unbiased.
No. A z-score divides by standard deviation, so the standard deviation must be greater than zero. If every value is identical, there is no spread to use for this calculation.
Use the Standard Deviation Calculator first when you only have a list of data values. Use this z-score tool after you already know the value, mean, and standard deviation you want to compare.
Yes. Recent z-score answers stay only in the current browser tab while you use the page. They are not sent to a server.