Fisher Transformation

The Fisher transformation is a statistical procedure used to compare the relative sizes of samples from two populations. The Fisher transformation is named after Ronald A. Fisher, who developed it in the early 1900s.

It is based on the observation that the distribution of a variable (such as the number of successes in a trial) can be transformed so that its variance is reduced. This transformation is used to compare the relative sizes of samples from two populations.

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