3.2 - Summary

In this lesson we learned about:

  • How to interpret graphical displays of multivariate data;
  • How to determine the most appropriate normalizing transformation of the data;
  • How to detect outliers;
  • Use of software in producing multivariate graphics
  • Issues regarding when outliers should be removed from the data, or when they should be retained.