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HOME > Archive > 2023 > Volume 14 Number 2 (May 2023) >
IJIMT 2023 Vol.14(2): 47-51
doi: 10.18178/ijimt.2023.14.2.936

Standard Deviation to Standardize Values

Abstract—The transformation of a quantitative variable to z-scores can also be called standard-deviation values. It measures the distance of a value from the mean in standard deviations. One purpose of the z-score is to help compare data values that are measured in different scales. With a given set of data values, the same z-scores will be computed regardless of the units of the values.

Index Terms—Standard deviation, standardize values

Zhen Ren is with Kent School, CT06757, USA. E-mail: renz23@kent-school.edu (Z.R.)

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Cite: Zhen Ren, "Standard Deviation to Standardize Values," International Journal of Innovation, Management and Technology vol. 14, no. 2, pp. 47-51, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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