A Z-score (standard score) tells you how many standard deviations a data point is above or below the mean of a distribution. A positive Z-score means the value is above average; a negative Z-score means it's below. Z-scores are used extensively in statistics for standardizing data from different scales, in education for comparing test scores, in finance for measuring risk, and in medical testing for interpreting lab results relative to population norms.