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Z-scores, percentiles and probabilities either way.
| Within | Value range | Contains |
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| Z | Percentile | Right tail | Two-tailed |
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Z-score
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How unusual this value is
A z-score says how many standard deviations a value sits from the mean, which makes otherwise incomparable measurements comparable. In hypothesis testing, |z| above 1.96 is significant at the 5 percent level. The empirical rule gives the 68-95-99.7 landmarks.
The Z-score Calculator converts a raw value to a standard score and back, and reports the percentile, tail probabilities and the area between any two z-scores — which is what most textbook questions actually ask for.
Convert a raw value into a z-score, or a z-score back into a raw value, and read off the percentile and tail probabilities that go with it. The area between any two z-scores is calculated too, which is what most textbook questions actually ask for.
A z-score says how many standard deviations a value sits from the mean, which makes otherwise incomparable measurements comparable: a z-score of 1.5 means the same thing whether the underlying scale was exam marks, blood pressure or rainfall. That standardisation is what replaces a shelf of distribution tables with a single one, and it is the step behind almost every significance test.
Raw value to z-score, or z-score back to the raw value on your own scale.
The calculation most z-table questions want, done without reading off a table.
The cumulative area to the left, expressed as the percentile the value sits at.
The 68-95-99.7 landmarks are displayed for context around your result.
Accurate to many decimal places, rather than the two a printed table offers.
Raw value to z-score, z-score to raw value, or the area between two z-scores.
The population mean and standard deviation.
The raw score or the z-score, depending on which direction you chose.
Percentile, left and right tail areas, and the two-tailed probability.
The number of standard deviations a value lies from the mean, calculated as (value − mean) ÷ standard deviation. A z-score of 2 means the value is two standard deviations above the mean.
It depends entirely on context. In hypothesis testing, |z| above 1.96 is significant at the 5 percent level. On a test score, a positive z-score simply means above average.
Look up the cumulative area to the left of the z-score under the standard normal curve. A z-score of 0 is the 50th percentile, and 1.645 is the 95th.
For a normal distribution, about 68 percent of values fall within one standard deviation of the mean, 95 percent within two and 99.7 percent within three.
What people who use the Z-score Calculator think of it. Reviews come from visitors and are posted as written.
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