The formula for calculating variance and extreme variance is Extreme Variance = Maximum Number - Minimum Number. And the variance is the square of the difference between the individual numbers in a set of data and their mean to form the mean of the new data. The formula is S^2=1/n[(x1-xˉ)^2+(x2-xˉ)^2+......+(xn-xˉ)^2]. The extreme deviation is the difference between the largest and smallest data in a set of data.

Overview of the meaning of variance

A basic concept in probability theory. It is a quantity used to express the degree of dispersion between a random variable and its expectation. If the expectation of the random variable ξ is eξ, then the weighted average of the squares of the deviations of ξ from eξ eξ - eξ?, known as the variance of ξ, often denoted as dξ or varξ. The variance of a random variable is uniquely determined by its probability distribution, and so is also known as the variance of a particular distribution. In order to make the quantities consistent, often apply the square root of the variance dξ, called the "root variance" or "mean variance".