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The variance measures the average degree to which each point differs from the mean. While standard deviation is the square root of the variance, variance is the average of all data points within a group. The two concepts are useful and significant for traders, who use them to measure market volatility.
How to calculate variance Determine the mean of your data. Find the difference of each value from the mean. Square each difference. Calculate the squared values. Divide this sum of squares by n ? 1 (sample) or N (population).
Sal explains a different variance formula and why it works! For a population, the variance is calculated as ?² = ( ? (x-?)² ) / N. Another equivalent formula is ?² = ( (? x²) / N ) - ?². If we need to calculate variance by hand, this alternate formula is easier to work with.
Using the VAR Function in Excel Excel also has a built-in function called VAR, which stands for variance. The VAR function automatically calculates variance for a given range of data. To use the function, simply select the data range and enter =VAR(data range) into a cell.
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).