BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -It’s the measure of dispersion the most often used, along with the standard deviation, which is simply the square root of the variance. The variance is mean squared difference between each data point and the centre of the distribution measured by the mean.

Detailed explanation-2: -The square of the standard deviation is called the variance.

Detailed explanation-3: -Variance is the average squared deviations from the mean, while standard deviation is the square root of this number. Both measures reflect variability in a distribution, but their units differ: Standard deviation is expressed in the same units as the original values (e.g., minutes or meters).

Detailed explanation-4: -Variance is the mean of the squares of the deviations from the mean. Variance is the square of standard deviation.

Detailed explanation-5: -The variance is defined as the average squared difference of the scores from the mean. We square the deviation scores because, as we saw in the Sum of Squares table, the sum of raw deviations is always 0, and there’s nothing we can do mathematically without changing that.