Percent standard error and coefficient of variation (CV) are measures of data variability that aid in data analysis. Percent standard error quantifies measurement variability as a percentage, making it suitable for comparing values across different scales. CV, on the other hand, is a standardized measure that expresses variability as a percentage of the mean. It allows for comparisons between datasets with different units or magnitudes, highlighting the relative spread of data around the central value. Both measures are valuable tools for assessing data quality, making inferences, and drawing meaningful conclusions from statistical analysis.
