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 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).

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.

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 ...

I know of scarcely anything so apt to impress the imagination as the wonderful form of cosmic order expressed by the ‘Law of Frequency of Error’,” the British polymath Francis Galton wrote in 1889.