A Z-Score is a statistical measurement that describes how far a data point is from the mean of a dataset, expressed in terms of standard deviations. It helps to understand whether a particular value is typical or unusual within a group. For example, if a student's test score has a Z-Score of +2, it means the score is two standard deviations above the average score of the class. Calculating a Z-Score involves subtracting the mean from the data point and then dividing by the standard deviation. This method is useful in various fields, including finance and psychology, to identify outliers or assess performance, such as comparing a person's height to the average height of a population.