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Transformations (Ladder of Powers)

This article covers meaning & overview of Transformations (Ladder of Powers) from statistical perspective.

Published by MBA Skool Team in Statistics Last Updated: July 11, 2023Read time:

Transformations (Ladder of Powers) Definition

The pbjective of the transformation was to promote symmetry and linearity relationships. It deals with the non-normality of data and the non-homogenous nature of variance.


The power of transformations form the following ladder – x-2, x-1, x-1/2, log x, x1/2, x, x2, x3, and so on where x>1.


For example, when a square root transformation is used on poisson data, the approximate transformation would result in a data that follows a normal distribution.


This article has been researched & authored by the Business Concepts Team which comprises of MBA students, management professionals, and industry experts. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.

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