When is it appropriate to use a t-score rather than a z-score? Will the results of fair lending analysis change if I use one rather than the other? These common questions are addressed in this video, the third part of our series reviewing statistical concepts that are fundamental to fair lending analysis.
Z-scores and t-scores derive from z-distributions and t-distributions respectively. Understanding the distinctions between these two distributions is a prerequisite to understanding the intuition behind selecting the appropriate statistic.
This video provides a short, concise answer to when and why it is appropriate to use a t-score rather than a z-score.