Box-Cox Transformation Calculator
Easily transform your data to achieve normality and stabilize variance.
Enter your data points separated by commas.
Results
Visualization
Visualization tools for assessing normality and the effect of the Box-Cox transformation will be added in a future update.
About Box-Cox Transformation
The Box-Cox transformation is a powerful technique used in statistics to transform non-normally distributed data into a more normal distribution. Normality is a key assumption for many statistical tests and models. This transformation is particularly useful when dealing with data that exhibits skewness or non-constant variance.
The transformation is defined by a lambda (λ) parameter. For different values of λ, the transformation takes different forms. For example, when λ = 0, the transformation becomes a natural logarithm transformation. The tool calculates the optimal λ value that best normalizes your input data.
How to use: Simply enter your data points, separated by commas, in the input field and click 'Calculate'. The transformed data and the optimal lambda parameter will be displayed. Use the 'Copy Results' button to easily copy the output.