How To Calculate A Standard Score

Standard score is a statistics term. The standard score shows how far away from the mean a score falls. It is also known as a z-score. Using a z-score table, you can find where the score falls on the table and figure out what percentile the score falls in. This is a way of standardizing tests in order to curve the scores to fit around the mean. If everyone does poorly on a test, the score distribution will curve up to fit around the average score on the test.

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Step 1

Find the mean and standard deviation of your data set. For example, assume you have a data set with a mean of 24 and a standard deviation of 5. You want to find the standard score of 28 in the data set.

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Step 2

Subtract the mean from the data for which you want a standard score. In the example, 28 minus 24 equals 4.

Step 3

Divide the difference between the data and the mean by the standard deviation. In the example, 4 divided by 5 equals a standard score of 0.8. You can use this score on a z table to see where it falls as a percentage of the rest of the scores.

Things Needed

  • Data set
  • Mean of data set
  • Standard deviation of data set

Cite This Article

MLA

McBride, Carter. "How To Calculate A Standard Score" sciencing.com, https://www.sciencing.com/calculate-standard-score-7511925/. 24 April 2017.

APA

McBride, Carter. (2017, April 24). How To Calculate A Standard Score. sciencing.com. Retrieved from https://www.sciencing.com/calculate-standard-score-7511925/

Chicago

McBride, Carter. How To Calculate A Standard Score last modified March 24, 2022. https://www.sciencing.com/calculate-standard-score-7511925/

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