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.

To calculate the variance follow these steps: Then for each number: subtract the Mean and square the result (the squared difference). Then calculate the average of those squared differences. (Why …

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 …

Jan 14, 2026 · Learn the variance formula in statistics with step-by-step explanation, examples, population vs sample variance, and FAQs to master the concept easily.

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.

Learn how variance is defined in probability theory by using the expected value. Understand the formula that defines variance.

3 days ago · Variance is a statistical measure that shows how spread out a set of data values is from their average (mean). To calculate variance, you find the mean of the data, subtract the mean from …

Variance is the average of the squared differences of a random variable from its mean. It is a statistical measurement of variability that indicates how far a set of numbers varies from the mean.