How can you make data normal using Box-Cox transformation?
The Box-Cox transformation is a method of normalising data, named after two statisticians who introduced it, George Box and David Cox. Each data point, X, is transformed using the formula Xa, where a represents the power to which each data point is raised. The box-cox transformation fits the data for values -5 to +5 until the optimal value of ‘a’ that can best normalize the data is identified.
