Calculations based on Standard Scores

Standard Scores

standard score (aka, a z-score) indicates how many standard deviations an element is from the mean. A standard score can be calculated from the following formula.

z = (X - μ) / σ

where z is the z-score, X is the value of the element, μ is the mean of the population, and σ is the standard deviation.

Here is how to interpret z-scores.

  • A z-score less than 0 represents an element less than the mean.
  • A z-score greater than 0 represents an element greater than the mean.
  • A z-score equal to 0 represents an element equal to the mean.
  • A z-score equal to 1 represents an element that is 1 standard deviation greater than the mean; a z-score equal to 2, 2 standard deviations greater than the mean; etc.
  • A z-score equal to -1 represents an element that is 1 standard deviation less than the mean; a z-score equal to -2, 2 standard deviations less than the mean; etc.

Let value of μ = M and value of  σ = a

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