📊 Statistics
68 − 95 − 99.7 Rule
Empirical Rule (68-95-99.7) — Know exactly what percentage falls within any standard deviation
68% within 1 standard deviation
In any normal distribution, approximately 68% of all data falls within 1 standard deviation of the mean (in both directions combined).
95% within 2 standard deviations
Approximately 95% of all data falls within 2 standard deviations of the mean.
99.7% within 3 standard deviations
Approximately 99.7% of all data falls within 3 standard deviations of the mean — meaning data beyond 3 standard deviations is quite rare.
Use
When this rule applies
The Empirical Rule only applies to data that is approximately normally distributed (bell-shaped and symmetric) — it doesn't apply to skewed or otherwise non-normal distributions.
1
A distribution of adult heights is approximately normal, with a mean of 66 inches and a standard deviation of 3 inches.
2
Using the Empirical Rule, about 68% of people have heights between 63 and 69 inches (within 1 standard deviation of the mean).
3
About 95% have heights between 60 and 72 inches (within 2 standard deviations).
4
About 99.7% have heights between 57 and 75 inches (within 3 standard deviations) — heights outside this range would be quite unusual.

Exams test whether you can apply the correct percentage (68%, 95%, or 99.7%) to a given number of standard deviations from the mean, and whether you recognize the Empirical Rule only applies to approximately normal distributions.

The most common trap is applying the Empirical Rule to a distribution that isn't approximately normal — the 68-95-99.7 percentages only hold for bell-shaped, symmetric distributions.

1. What percentage of data falls within 1 standard deviation of the mean in a normal distribution?
68%.
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2. What percentage falls within 2 standard deviations?
95%.
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3. What percentage falls within 3 standard deviations?
99.7%.
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4. For a normal distribution with mean 66 and standard deviation 3, what range contains about 95% of the data?
60 to 72 (mean ± 2 standard deviations).
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5. Does the Empirical Rule apply to all distributions?
No — only to distributions that are approximately normal (bell-shaped and symmetric).
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