Control charts helps you to see when your data are within acceptable bounds, see Figure 6.12.
There are many other statistical methods for analyzing relationships among attributes, like
- classification-tree analysis: to determine which measures are the best predictors of the behavior in a given attribute
- transformations: transforming data in "scatter plots" in order to more easily recognize some relationship (make it linear)
- multivariate data analysis: principal component analysis (transformation on main axes), cluster analysis (grouping data into clusters), and discriminant analysis
- multi-criteria decision aids: optimization with multiple goals (low cost, fast transportation)
The chapter ends with an overview of statistical tests.