Jan 18, 2023 · The variance reflects the variability of your dataset by taking the average of squared deviations from the mean.

Feb 19, 2026 · Variance is a measure of how spread out a data set is, and we calculate it by finding the average of each data point's squared difference from the mean. It's useful when …

Jan 20, 2026 · To calculate variance, you find the mean of the data, subtract the mean from each value, square those differences, add them together, and divide by the total number of values …

3 days ago · Variance is defined as the square of the standard deviation, i.e., taking the square of the standard deviation for any group of data gives us the variance of that data set.

Variance measures how far a data set is spread out. Definition, examples of variance. Step by step examples and videos; statistics made simple!

To calculate the variance of a discrete random variable, use the formula σ2=Σ (xi-µ)2pi. To use this formula, subtract the mean from each data value, square each result, multiply each of …

To find the variance, take a data point, subtract the population mean, and square that difference. Repeat this process for all data points. Then, sum all of those squared values and divide by …