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 · What Is Variance? Variance is a statistical measurement of how large of a spread there is within a data set.

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

In statistics, variance is used to comprehend the correlation among numbers within a data collection, rather than employing more elaborate mathematical techniques, such as organizing the data into …

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 …

The mean is the average of the data, whereas the variance is a measure of how far each value in the data set is from the mean. The mean is a measure of centre and the variance is a measure of spread.

Nov 4, 2025 · A higher variance indicates greater variability, meaning the data is spread, while a lower variance suggests the data points are closer to the mean. The following image depicts the variance …

Variance is a measure of the variability of data and describes how the data points are spread out with respect to the mean. There can be two types of variance - sample variance and population 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 describes the degree of variability in a dataset, showing how far data points lie from the mean and reflecting overall consistency. A low variance indicates values are closely clustered, while a high …