Descriptive analysis variance

Variability describes how far apart data points lie from each other and from the center of a distribution. Along with measures of central tendency, measures of variability give you descriptive statistics that summarize your data.The variance is the average of squared deviations from the mean. Variance reflects the degree of spread in the data set. The more spread the data, the larger the variance is in relation to the mean. To find the variance, simply square the standard deviation. The symbol for variance is s2.The variance in statistics is the average squared distance between the data points and the mean. Because it uses squared units rather than the natural data units, the interpretation is less intuitive. Higher values indicate greater variability, but there is no intuitive interpretation for specific values.Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value. It is the second central moment of a distribution, and the covariance of the random variable with itself, and it is often represented by,,,, or.