Taylor's law is a statistical principle that describes the relationship between the mean and variance of biological populations. It states that the variance of a population is often proportional to a power of its mean. More formally, if \( S^2 \) represents the variance and \( \mu \) represents the mean of a population, Taylor's law can be expressed as: \[ S^2 = a \mu^b \] where \( a \) and \( b \) are constants.
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