 The Lexis ratio is sometimes also referred to as "L".Let there be "k" samples of size "n"1, "n"3, "n"3, ... , "n"k and these samples have the proportion of the attribute being examined of "p"1, "p"2, "p"3, ..., "p"k respectively.Then the Lexis ratio is

If the Lexis ratio is significantly below 1, the sampling is referred to as Poissonian (or subnormal); it is equal to 1 the sampling is referred to as Bernoullian (or normal); and if it is above 1 it is referred to as Lexian (or supranormal).