Lexis Ratio

$$L\equiv{\sigma\over\sigma_B},$$

where $\sigma$ is the Variance in a set of $s$ Lexis Trials and $\sigma_B$ is the Variance assuming Bernoulli Trials. If $L<1$, the trials are said to be Subnormal, and if $L>1$, the trials are said to be Supernormal.

See also Bernoulli Trial, Lexis Trials, Subnormal, Supernormal