A z-score, also known as a standard score, is a statistical measure that quantifies how many standard deviations a data point is from the mean (average) of a data set.
It is used to standardize and compare data across different distributions, allowing for the assessment of data points’ relative positions and significance.
A positive z-score indicates a data point is above the mean, while a negative z-score suggests it is below the mean.
Z-scores are valuable in statistics and research for normalizing data and making meaningful comparisons in various fields, including finance, education, and healthcare.