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.