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. …

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 …

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

Nov 4, 2025 · Variance is a number that tells us how spread out the values in a data set are from the mean (average). It shows whether the numbers are close to the average or far away from it.

Deviation means how far from the normal. The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma) The formula is easy: it is the square root of the …

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 · ‘Variance’ refers to the spread or dispersion of a dataset in relation to its mean value. A lower variance means the data set is close to its mean, whereas a greater variance indicates a larger …

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.

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.