**Core Concept**
Measures of dispersion variability are statistical tools used to quantify the spread or dispersion of a dataset from its central tendency (mean, median, or mode). These measures help in understanding the distribution of data points and the degree of variability within a dataset.

**Why the Correct Answer is Right**
The correct answer is related to the coefficient of variation (CV), which is a standardized measure of dispersion that calculates the ratio of the standard deviation to the mean. The CV is expressed as a percentage and provides a relative measure of variability, allowing for comparison across datasets with different scales. This measure is particularly useful when dealing with datasets that have different units or scales.

**Why Each Wrong Option is Incorrect**
**Option A:** Range is a measure of dispersion, but it is not a standardized measure, and it is sensitive to outliers.
**Option B:** Interquartile range (IQR) is a measure of dispersion that is resistant to outliers, but it does not provide a relative measure of variability.
**Option C:** Standard deviation is a measure of dispersion, but it is scale-dependent and does not provide a relative measure of variability.

**Clinical Pearl / High-Yield Fact**
When comparing datasets with different scales, use the coefficient of variation (CV) to obtain a standardized measure of dispersion variability.

**Correct Answer: B. Interquartile range (IQR) is a measure of dispersion that is resistant to outliers, but it does not provide a relative measure of variability.