a strong GRE score
- Your score
- 320
- Mean score of test takers
- 302
- Standard deviation
- 13
Estimated percentile91.69%
(320 - 302) / 13, computed independently
Open this examplePercentile from a test score, assuming a normal distribution. Real test score distributions are only approximately normal, so this is an estimate rather than the official table.
Also called: test score percentile, z score to percentile.
About the 91.69%th percentile, which is 1.38 standard deviations above the mean. That puts you ahead of roughly 91.69% of test takers.
Convert the score to a z score, the number of standard deviations from the mean, then read the normal cumulative distribution to get the share of test takers below it. The assumption is the weak part: scaled test scores are close to normal in the middle and diverge in the tails, so an estimate near the mean is good and one at the extremes is not. Official percentile tables are published and should be preferred when available.
convert to a z score, then read the normal cumulative distributionEach of these is asserted on every build. If a change to the engine ever moved one of these answers, the build would fail before the page could print it.
Estimated percentile91.69%
(320 - 302) / 13, computed independently
Open this exampleEstimated percentile50%
boundary: the definitional case
Open this exampleFormula version 1.0.0 · definition 1.0.0 · United States · Report a problem with this calculator