What it shows
A normal curve with brackets showing the share of the distribution within 1, 2 and 3 standard deviations of the mean: 68.27%, 95.45% and 99.73%. The bands are shaded by distance from the mean.
The axis carries two scales, the z-score and IQ on the common scale with mean 100 and standard deviation 15, so the rule can be read in units students recognize.
How to read it
The innermost bracket covers 85 to 115 on the IQ scale, z = −1 to +1: 68.27% of the distribution.
The next covers 70 to 130, within 2 standard deviations: 95.45%.
The outermost covers 55 to 145, within 3: 99.73%. Only 0.27% lies beyond it.
The numbers behind it
- Shares within k standard deviations, computed as 2Φ(k) − 1: 68.27% (k = 1), 95.45% (k = 2), 99.73% (k = 3).
- IQ = 100 + 15z, so the axis marks read 55, 70, 85, 100, 115, 130 and 145.
- The curve is drawn from −3.5 to +3.5 SD; 0.27% of the distribution lies beyond 3 SD.
Ways to use it in teaching
Ask what share of people score above 130 on this scale, and have students work it out from the brackets.
Translate the rule to a variable from students’ own field with a known mean and standard deviation.
For a rough check on normality, compare the share of a real dataset within one standard deviation with the 68.27% shown here.
The percentages hold only for normal data; for a skewed variable, use the data’s own percentiles instead.
For the summary statistics behind this kind of chart, see our plain-language guide to descriptive statistics.
Sources
- 68–95–99.7 rule. (n.d.). In Wikipedia. Retrieved October 18, 2026, from https://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule
- Illowsky, B., & Dean, S. (2023). Introductory statistics 2e. OpenStax. https://openstax.org/details/books/introductory-statistics-2e
- Intelligence quotient. (n.d.). In Wikipedia. Retrieved October 18, 2026, from https://en.wikipedia.org/wiki/Intelligence_quotient







