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 …

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

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 …

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.

The variance in statistics is the average squared distance between the data points and the mean. Because it uses squared units rather than the natural data units, the interpretation is less intuitive.

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.

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

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

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.

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 …