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 …

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.

Variance is a measure of variability in statistics that assesses the average squared difference between data values and the mean.

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 …

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. It is calculated by taking the average of the squared differences from …

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 …

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 …

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.

The variance (Var) tells you how much the results deviate from the expected value. If the variance (σ 2) is large, the values scatter around the expected value.