Z-scores allow comparison of values from different data sets by measuring the number of standard deviations an observation is above or below the mean. A positive Z-score indicates how many standard deviations above the mean, while a negative score indicates how many below. Examples show how to calculate Z-scores from raw data and vice versa, and how Z-scores can be used to compare performances relative to the mean across different samples or events. Care must be taken to determine if a higher or lower score is preferable based on the situation.