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. …

Nov 4, 2025 · 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 measurement of dispersion across a data set, comparing the difference between every other number in the set.

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

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: …

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 …

Jan 2, 2025 · What is variance in statistics. Learn its symbol, equation, and properties. How to find it explained with examples.

Variance is the degree of variability within a dataset. In other words, it tells you how far the data points are from the mean, making it a measure of data variability. A high variance means they are more …

Variance is a statistic that is used to measure deviation in a probability distribution. Deviation is the tendency of outcomes to differ from the expected value.

Dec 10, 2025 · 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.