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.