A Z-score (also called a standard score) tells you how many standard deviations a specific value is from the mean of a dataset. It converts raw scores into a standard scale, making it possible to compare values from different distributions. Z-scores are fundamental to hypothesis testing, standardized testing, quality control, and financial analysis.