Both test interpretation and test-based ruling depend on comparing the respondent’s score to a standard (or a scale of standards), a comparison by which the respondent is to be ranked somehow among the reference population. This operation goes beyond the field of psychological testing, and is of relevance to school testing, medical assessing, quality control, etc. However, in many cases, the individual’s score is altered by a “measurement error”, and also the standard used has its own uncertainty, ascribable to its sample data basis. In parts I and II (Laurencelle 2015, 2016a) of this series of articles, the problem was explicitly identified and solved, and practical numerical procedures were proposed. This third part, focused on the user, summarizes the theory and presents a series of worked out examples that may serve as solution models (both exact and approximate) to the user, while illustrating various instances of the theory.