Why we add 0.5 in all observations when apply square root transformation?

08 September 2020 1 6K Report

When data violates assumption of ANOVA, then we apply transformation. But my question is that in square root transformation some value are zero then why we add only 0.5 in all observations, why not 0.1, 0.2 or 1.5 etc. Is any particular logic behind this?

Edward Benya

As best as I understand your question, REMEMBER that the square root of any value is THAT VALUE to the 0.5 power.

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