In real life, data is messy and doesn't always fit into normal statistical distributions. This is especially true in service industries where the variables are, well, variable and directly related to and measured by the constantly changing needs of customers. As the breadth and depth of tools available has increased across the integrated Lean Six Sigma landscape, their integrated application has become more complex. Filled with case studies using...