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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.
* If we get negative z-score that is below the mean; * If we get positive that is above the mean; * If we get zero that is same as the mean. Let consider the input data 2,3,4, the sample mean for the given value is 3 and standard deviation is 1,Consider the standardized random variable as 5, By substituting the given to the formula, (5 - 3) / 1 we will get the z score value as 2. We got a positive z value (2) so that's is above the mean. Score. Number of Count. Code to add this calci to your website. Just copy and paste the below code to your webpage where you want to display this calculator. Z value = (X - Âµ) / Ï Where, X = Standardized Random Variable, Âµ = Sample Mean, Ï = Sample Standard Deviation.