The Empirical Rule describes how to visualize the individual values of your data across a normal curve. It will be based on the mean and standard deviation of your data. This is shown below.

The empirical rule shows that 68% of the distribution lies within one standard deviation, in this case, from 11.6 to 14.6 years. Thus, the remaining 32% of the distribution lies outside this range.

The bell curve, or normal distribution, occurs throughout statistics. Like snowflakes, ... This relationship is known as the 68-95-99.7 rule (or the empirical rule).

Using the empirical rule, for example, if 100 test scores are collected and used in a normal probability distribution, 68% of those test scores should fall within one standard deviation above or ...

goodness-of-fit tests based on the empirical distribution function (EDF): the Anderson-Darling, Cramer-von Mises, and Kolmogorov-Smirnov tests. The p-values for these tests are smaller than the usual ...