A Z-score (also called standard score) tells you how many standard deviations a value sits above or below the mean. Z-scores let you compare values from different distributions — for example, a 95 on a chemistry test vs. a 90 on a physics test. They are foundational to hypothesis testing, control charts, and grading on a curve.