ABSTRACT
This chapter presents the geometric typicality test. This test answers the kind of questions frequently asked by geometric data analysis users: “Is the deviation of the mean point of a cloud from a reference point a genuine one, or may it be due to chance?” The chapter presents situations that are exemplary cases for the geometric typicality test and briefly describes the steps of the test. The cloud of effect-points together with its mean point and the reference point will be at the basis of the geometric typicality test. A design with two repeated measures is a privileged case in which the geometric typicality test applies. The chapter provides a discussion on the G-permutation space that plays a key role in the construction of the test and of the compatibility region.
