Can be interpreted as the number of standard deviations a data value is from the mean of all the data values.

Hello, what you are looking for is the term z-score. z-score is the standardized score that has been developed for statistics to compare data from different scales. By using the mean and standard deviation of the data values, a z-score is calculated and comparisons can be deduced even if the two data sets have different scales.

For example, if a z-score is 1.33, then it is 1.33 standard deviations from the mean. This result is more typical compared to a z-score of 3 meaning that it is 3 standard deviations from the mean.