Reference & charts
Normal Distribution Z-Score Table
Z-score table for normal distribution probabilities.
For normally distributed data, z-scores standardize values: z = (x − μ) / σ. Use this table to find the proportion of data below a given z-score.
Selected z-scores and cumulative probabilities (standard normal)
| z | Area below | z | Area below |
|---|---|---|---|
| 0.0 | 0.5000 | 1.0 | 0.8413 |
| 0.5 | 0.6915 | 1.5 | 0.9332 |
| 0.67 | 0.7486 | 2.0 | 0.9772 |
| 0.84 | 0.7995 | 2.5 | 0.9938 |
| −1.0 | 0.1587 | −2.0 | 0.0228 |
| −1.96 | 0.0250 | −2.58 | 0.0049 |
Empirical rule
For bell-shaped data: ~68% within 1 SD of mean, ~95% within 2 SD, ~99.7% within 3 SD. This connects standard deviation to the normal table.
Using with your data
Calculate your sample mean and SD, convert any value to a z-score, then look up the area in this table to find percentiles.
Frequently asked questions
How do I use this Standard Deviation reference?
Find your category or range in the table, then use the linked calculator to compute an exact value for your inputs.
Calculator
Standard Deviation Calculator