9 Geometric Means and Lognormal Distributions
Rein Taagepera
Abstract
Rein Taagepera
Abstract
Abstract Geometric means are often more meaningful than arithmetic means, because they are closer to the central figure (median). When x and y can conceptually take only positive values, their distributions cannot be normal and may be lognormal. When running a normal distribution yields a standard deviation larger than one-half of the mean, one should dump the normal fit and try a lognormal fit instead.
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Abstract Geometric means are often more meaningful than arithmetic means, because they are closer to the central figure (median). When x and y can conceptually take only positive values, their distributions cannot be normal and may be lognormal. When running a normal distribution yields a standard deviation larger than one-half of the mean, one should dump the normal fit and try a lognormal fit instead.
Key concepts: Log-normal distribution, Geometric mean, Geometric standard deviation, Mathematics, Standard deviation, Normal distribution, Statistics, Relative standard deviation