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Use the following format to find a z-score: z = X - Î¼ / Ï. This formula allows you to calculate a z-score for any data point in your sample. 1  Remember, a z-score is a measure of how many standard deviations a data point is away from the mean.2  In the formula X represents the figure you want to examine.his will start out the calculations for a z-score. 1  For example, in our sample of tree heights we want to find out how many standard deviations 7.5 is from the mean of 7.9. 2  Therefore, you would perform the following: 7.5 - 7.9.
The formula for calculating a Z score involves the data point in question, the mean of the data set, and the standard deviation of the data set. In the equation for the Z score shown below, x stands for the data point, m stands for the mean of the data set, and sd stands for the standard deviation of the data set.ave. DAJ/amana images/Getty Images. A Z score is a statistical calculation that you can perform on a single data point that belongs to larger data set. The Z score tells you how far -- in standard deviations -- that data point is from the mean, or average, of the data set.