It also measures how many standard deviations a figure is from the average. Z-score shows the statistician how different a piece of data is from the average for the set. The standard deviation shows a statistician the range of data and how it lies on a plot. This differs from the standard deviation, which measures how far-spread or close data in a sample is. This is the mean value and the z-score measures how far any individual piece of data lies from the average. When a set of data falls into a normal distribution pattern or bell curve, then the mean is the point at which the curve is at its apex. You can use it to measure a specific result of a test or observation against the average. What is a Z-score?Ī Z-score is a statistical method for establishing whether a particular piece of data represents the data set from which it derives. In this article, we discuss what a Z-score is and how to calculate it, and we provide several examples of how you can use a Z-score. Understanding the Z-score can help you determine the relationship between two or more variables or data sets. Statisticians, researchers and scientists use it as a way of measuring where a specific test or observation point falls above or below the average or mean. A Z-score is a statistical measurement that shows how one value relates to a group of similar values.
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