It is calculated by taking the differences between each number in the data set and the mean, squaring the differences to make them positive, and then dividing
In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation
Variance quantifies the dispersion of data points around the mean. It is calculated as the average of the squared deviations of each data
To find the variance easily, we need to find the mean of given observations first. Then subtract this mean value from each of the observations and square them.
To calculate the population variance, use the formula σ2=1NN∑i=1(xi−μ)2 σ 2 = 1 N ∑ i = 1 N ( x i − μ ) 2 where N N is the size of the population consisting of
It is calculated by taking the average of squared deviations from the mean. Variance tells you the degree of spread in your data set.