The red population has mean 100 and variance 100 (SD=10) while the blue population has mean 100 and variance 2500 (SD=50) where SD stands for Standard Deviation. In probability theory …

Jul 23, 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.

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

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 …

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 …

4.4 – Calculating Variance Variance is a calculation of the average squared deviation. Since the Sum of Squares is the total of all the squared deviations, to calculate the average we would …

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 …

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.

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