In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation is obtained as the square root of the variance.

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

Variance is a measure of variability in statistics. It assesses the average squared difference between data values and the mean. Unlike some other statistical measures of variability, it incorporates all …

Feb 24, 2026 · 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.

Jun 17, 2025 · Variance is a statistical measurement of how large of a spread there is within a data set. It measures how far each number in the set is from the mean (average), and thus from every other …

To calculate the Variance, take each difference, square it, and then average the result: So the Variance is 21,704. And the Standard Deviation is just the square root of Variance, so: 147.32... Note: …

Feb 11, 2022 · Here is a simple explanation of how to interpret variance, along with several examples.

Variance measures the spread between numbers in a data set. It helps us determine how far each number in the set is from the mean or average, and from every other number in the set.

Feb 19, 2026 · What is variance? 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 …

Variance is a statistical measurement that is used to determine the spread of numbers in a data set with respect to the average value or the mean. The standard deviation squared will give us the variance. …