Wang Bright
04/28/2024 · Junior High School

Z scores are reported as the same measurement unit as the raw scores.

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Z-scores are actually a standardized measure that indicates how many standard deviations a raw score is from the mean of a distribution. While raw scores are measured in their original units (e.g., inches, pounds, test scores), Z-scores are unitless because they represent a relative position within the distribution rather than a specific measurement. To calculate a Z-score, you use the formula: \[ Z = \frac{(X - \mu)}{\sigma} \] where: - \( Z \) is the Z-score, - \( X \) is the raw score, - \( \mu \) is the mean of the distribution, and - \( \sigma \) is the standard deviation of the distribution. Since Z-scores are derived from the raw scores by standardizing them, they do not retain the original measurement units. Instead, they provide a way to compare scores from different distributions or to understand the relative standing of a score within its own distribution.

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Z-scores are unitless and represent the number of standard deviations a raw score is from the mean. They are calculated using the formula \( Z = \frac{(X - \mu)}{\sigma} \).
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