The basic difference between both is standard deviation is represented in the same units as the mean of data while the variance is represented in. Standard Deviation and Variance.
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Variance is a measure of how data points vary from the mean whereas standard deviation is the measure of the distribution of statistical data.
. The Variance is defined as. Its symbol is σ the greek letter sigma The formula is easy. The Standard Deviation is a measure of how spread out numbers are. Deviation just means how far from the normal.
A high standard deviation means that there is a large variance between the data and the statistical average and is not as. Variance and Standard Deviation are the two important measurements in statistics. Standard deviation is a statistical measurement of the amount a number varies from the average number in a series. It is the square root of the Variance.
So now you ask What is the Variance Variance. A low standard deviation means that the data is very closely related to the average thus very reliable. If X and Y are independent discrete random variables then VarX pm Y VarX VarY.
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