What is the measure that represents the square root of variance?

The measure that represents the square root of variance is the standard deviation calculation. Variance quantifies the spread of a set of data points around their mean, giving a numerical value representing the degree of dispersion. The standard deviation is derived from the variance and serves as a more interpretable measure of dispersion in the same units as the original data. By taking the square root of the variance, the standard deviation provides a clear and straightforward way to assess variability in a dataset, making it easier to understand the spread of the data relative to the mean.

The other options do not represent the square root of variance. The variance score itself refers directly to the calculation of variance, not the square root of it. The standard score, often known as a z-score, expresses how many standard deviations an element is from the mean but does not relate to the variance directly. Statistical significance pertains to the likelihood that a result or relationship is not due to chance, which also does not involve directly measuring or interpreting variance or its square root.