Which measure is the square root of variance?

The square root of variance is known as the standard deviation. Variance itself measures the average squared deviation of each data point from the mean, providing insights into the data's spread or dispersion. Taking the square root of this value converts it back to the same unit of measurement as the original data, making it much more interpretable.

Standard deviation reflects how much individual data points typically differ from the mean, thus providing a direct understanding of data variability. Unlike the other measures listed, such as mean (the average), median (the middle value when data is sorted), and mode (the most frequently occurring value), standard deviation specifically quantifies the spread of the data, making it a crucial statistic in data analysis.