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.
Worked example: one test score
A student scores 85 on a test where the class mean is 70 and the standard deviation is 10.
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
| z | Share below | Meaning |
|---|---|---|
| −2 | 2.3% | Unusually low |
| −1 | 15.9% | Below average |
| 0 | 50% | Exactly average |
| 1 | 84.1% | Above average |
| 1.96 | 97.5% | Edge of the middle 95% |
| 2 | 97.7% | 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?
How do I turn a z-score into a percentile?
Can a z-score be negative?
How do I get the raw score from a z-score?
Is the percentile accurate for my data?
Related free tools
Step-by-step guide: How to calculate a z-score →